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{'_nowarp','_homography','_OF'};%{'_nowarp','_homography','_OF'}; +outputDir = 'E:\projects\DeepVideoDeblurring\outImg'; +outputFolderPrefix = [date '_validating_model2_symskip_nngraph2_deeper']; +gtDir = 'E:\projects\DeepVideoDeblurring\dataset\quantitative_datasets'; +global frameExt +frameExt = '.jpg'; + +%% Scan videos +outputFolders = {}; +for alignment = alignments + outputFolders{end+1} = [outputFolderPrefix,alignment{1}]; +end +outputFolders = fullfile(outputDir,outputFolders); +% videoNames = {}; +% for outputFolder = outputFolders +% videoNames{end+1} = dir(outputFolder{1}); +% maskFolders = [videoNames{end}.isdir]; +% videoNames{end} = videoNames{end}(maskFolders); +% videoNames{end} = videoNames{end}(3:end); +% videoNames{end} = {videoNames{end}.name}; +% end + +validset = {'IMG_0030' 'IMG_0049' 'IMG_0021' '720p_240fps_2' 'IMG_0032' ... +'IMG_0033' 'IMG_0031' 'IMG_0003' 'IMG_0039' 'IMG_0037'};% from git rep DeepVideoDeburring + +%% Evaluate PSNR +align2PSNRs = zeros(length(alignments),length(validset)+1); +for iAlignment = 1:length(alignments) + alignment = alignments{iAlignment}; + + %% scan validset frames + frameDirs = scanFrames(outputFolders{iAlignment},gtDir,validset); + + %% evaluate PSNR + for iVideo = 1:size(frameDirs,1) + avgPSNR = 0; + nFrame = size(frameDirs,2); + parfor iFrame = 1:nFrame + gtFrameDir = frameDirs{iVideo,iFrame,1}; + outputFrameDir = frameDirs{iVideo,iFrame,2}; + gt = imread(gtFrameDir); + output = imread(outputFrameDir); + scores = evaluate_align(gt,output,'PSNR'); + avgPSNR = avgPSNR+scores.PSNR; +% scores = metrix_mux(gt,output,'PSNR'); +% avgPSNR = avgPSNR+scores; + end + avgPSNR = avgPSNR/nFrame; + align2PSNRs(iAlignment,iVideo) = avgPSNR; + fprintf('video %d/%d done!\n',iVideo,size(frameDirs,1)) + end + +end +align2PSNRs(:,end) = mean(align2PSNRs(:,1:length(validset)),2) + +%% functions +function frameDirs = scanFrames(outputFolder,gtDir,videoNames) +global frameExt +% for all videos +disp('Scanning frames...'); +frameDirs = {}; +iFrameAll = 1; +for iVideo = 1:length(videoNames) + videoName = videoNames{iVideo}; + outputFrameFolder = fullfile(outputFolder,videoName); + outputFrameNames = dir(fullfile(outputFrameFolder,['*',frameExt])); + outputFrameNames = {outputFrameNames.name}; + gtFrameFolder = fullfile(gtDir,videoName,'GT'); + gtFrameNames = dir(fullfile(gtFrameFolder,['*',frameExt])); + gtFrameNames = {gtFrameNames.name}; + for iFrame = 1:length(outputFrameNames) + frameDirs{iVideo,iFrame,1} = [gtFrameFolder,'/',gtFrameNames{iFrame}]; + frameDirs{iVideo,iFrame,2} = [outputFrameFolder,'/',outputFrameNames{iFrame}]; + iFrameAll = iFrameAll+1; + end + fprintf('Found %d frames, video %d/%d\n',iFrameAll-1,iVideo,length(videoNames)) +end +fprintf('Found %d frames\n',iFrameAll-1) +end \ No newline at end of file diff --git a/evaluate/evaluate_align.m b/evaluate/evaluate_align.m new file mode 100644 index 0000000..0e15c1c --- /dev/null +++ b/evaluate/evaluate_align.m @@ -0,0 +1,93 @@ +function scores = evaluate_align(groundTruth,deblurred,metric) +% BENCHMARK_EVAL_IMAGE computes various quality measures given +% a deblurred image and the corresponding ID, i.e. you have to +% provide the image and kernel number +% +% Michael Hirsch and Rolf Koehler (c) 2012 + +addpath(genpath('image_quality_algorithms')) + +% ----------------------------------------------------------------- +% Check that input images are 8bit. +% To use the image quality assessment algorithms the images have to be in 8 +% bit, with a maximum value of 255, so not normalized. +% ----------------------------------------------------------------- +if ( ~isa(deblurred, 'uint8') || size(deblurred,3)~=3 ) + error('Input image has to be a color image of type uint8!'); +end + +% z will denote the estimated, i.e. deblurred image +z = double(deblurred); + +% Create constant image which will act as a mask +c = ones(size(deblurred)); + +% Initialize containers for quality measures +mse = []; +mssim = []; +vif = []; +ifc = []; +psnr = []; +mad = []; + + +% ================================================================= +% compute the image quality measure score +% ----------------------------------------------------------------- + + +% Load ground truth image, denoted by x +x = double(groundTruth); +xf = fft2(mean(x,3)); + +% Scale image intensity +zs = (sum(vec(x.*z)) / sum(vec(z.*z))) .* z; +zf = fft2(mean(zs,3)); + +% Estimate shift by registering deblurred to ground truth image +[output Greg] = dftregistration(xf, zf, 1); +shift = output(3:4); + +% Apply shift +cr = imshift(double(c), shift, 'same'); +zr = imshift(double(zs), shift, 'same'); +xr = x.*cr; + +% Compute various quality measures +switch metric + case 'MSE' + mse = [mse metrix_mux(xr, zr, 'MSE')]; + case 'MSSIM' + mssim = [mssim metrix_mux(xr, zr, 'MSSIM')]; + case 'VIF' + vif = [vif metrix_mux(xr, zr, 'VIF')]; + case 'IFC' + ifc = [ifc metrix_mux(xr, zr, 'IFC')]; + case 'PSNR' + psnr = [psnr metrix_mux(xr, zr, 'PSNR')]; + case 'MAD' + MAD_temp = MAD_index(xr, zr); + mad = [mad MAD_temp.MAD]; +end + + +% ================================================================= +% Save results +% ----------------------------------------------------------------- +switch metric + case 'MSE' + scores.MSE = mse; + case 'MSSIM' + scores.MSSIM = mssim; + case 'VIF' + scores.VIF = vif; + case 'IFC' + scores.IFC = ifc; + case 'PSNR' + scores.PSNR = psnr; + case 'MAD' + scores.MAD = mad; +end + +return + diff --git a/evaluate/evaluation_code/MAD_index.m b/evaluate/evaluation_code/MAD_index.m new file mode 100644 index 0000000..939b2ac --- /dev/null +++ b/evaluate/evaluation_code/MAD_index.m @@ -0,0 +1,656 @@ +function [index map gabors] = MAD_index( ref_img, dst_img, thresh ) +% MAD_INDEX Compute Perceived Difference of two images +% index = MAD_INDEX(ref_img, dst_img) where ref_img and dst_img are +% uint8 images and dst_img is a distorted version of ref_img +% returns the similarity score for the reference and distorted image as +% a structure: +% index.MAD: the difference score, higher means more different +% index.LO : the difference score based on assumption that distortions +% are highly visible (low quality image) +% index.HI : the difference score based on assumption that distortions +% are diffcult to see (high quality image) +% index.sig: blending parameter used to mix HI and LO into MAD score +% +% [index map] = MAD_INDEX(ref_img, dst_img) also returns maps used +% in calculating the scores: +% map.LO: returns an estimate of perceived annoyance of the highly +% visible distortion artifacts as an image the same size as the inputs +% map.HI: returns an estimate of the visibility of artifacts in the image +% as an image the same size as the inputs + +% Author: Eric Larson +% Department of Electrical and Computer Engineering +% Oklahoma State University, 2008 +% University Of Washington Seattle, 2009 +% Image Coding and Analysis Lab + +% 2008: Eric Larson, MAD code creation +% 2009: Eric Larson, Added mex file support +% 2010: (april) Releasing beta version of code +% 2010: (june) Fixed constant of 200 on d_detect +% 2010: (november) Fixed output gabor handling and non integer input images +% 2011: (september) Mad is now faster! + +if( nargin == 0 ) + %error( 'No valid input given. Please provide images or image names.' ); + index = hi_index; + return; +elseif( ~isinteger( ref_img ) && ~isfloat( ref_img )) + % read in the image names + ref_img = imread( ref_img ); + dst_img = imread( dst_img ); +end + +% Parameterize the input +% Initializations +index.LO = -1; +index.HI = -1; +index.MAD = -1; +map.LO = zeros( size( ref_img ) ); +map.HI = zeros( size( ref_img ) ); +map.sig = -1; + +% Ready data for processing +if( ndims( ref_img ) == 3 ) + ref_img = myrgb2gray( ref_img ); +end + +if( ndims( dst_img ) == 3 ) + dst_img = myrgb2gray( dst_img ); +end + +ref = double( ref_img ); +dst = double( dst_img ); + +% Calculate high quality index +% Calculate low quality index + +[index.HI map.HI] = hi_index( ref_img, dst_img ); + +if nargout >= 3 + [index.LO map.LO gabors] = lo_index( ref, dst ); +else + [index.LO map.LO] = lo_index( ref, dst ); +end + +% Combine outputs using sigmoid blend +if( nargin > 3 ) + thresh1 = thresh(1); + thresh2 = thresh(2); +else + thresh1 = 2.55; + thresh2 = 3.35; +end +b1 = exp(-thresh1/thresh2); +b2 = 1/(log(10)*thresh2); + +sig = 1 ./ ( 1 + b1*index.HI^b2 ) ; +index.sig = sig; +index.MAD = ( index.LO^(1-sig) .* index.HI.^(sig) ); + +% Not used, reserved for future version of MAD +%[map.ADAPT map.ALPHA index.SMAD] = adapt_map(map,[thresh1 thresh2]); +% profile off +% profile report + +end + +%=========================================== +% OTHER FUNCTIONS +%------------------------------------------- + +%----------------------------------------------------- +function [I mp imgs] = hi_index( ref_img, dst_img ) +% Calculate the high quality index by calculating the masking map and +% then approximating the local statistics, using filtering. +% Author: Eric Larson +% Department of Electrical and Computer Engineering +% Oklahoma State University, 2008 +% Image Coding and Analysis Lab + +% Masking/luminance parameters +k = 0.02874; +G = 0.5 ; % luminance threshold +C_slope = 1; % slope of detection threshold +Ci_thrsh= -5; % contrast to start slope, rather than const threshold +Cd_thrsh= -5; % saturated threshold +ms_scale= 1; % scaling constant +if(nargin==0)% for debug only, + I={'collapsing (mask) and raw lmse',... + 'using c code',... + 'using log scale',... + 'two norm',... + sprintf('Ci = %.2f',Ci_thrsh),... + sprintf('Cslope = %.2f',C_slope),... + sprintf('Cd = %.2f',Cd_thrsh),... + sprintf('G = %.2f',G),... + 'LO QUALITY',... + }; + return; +end +% log(Contrast of ref-dst) vs. log(Contrast of reference) +% / +% / +% / _| <- Cslope +% / +%----------+ <- Cdthresh (y axis height) +% /\ +% || +% Ci thresh (x axis value) + +% TAKE TO LUMINANCE DOMAIN USING LUT +if isinteger(ref_img) + LUT = 0:1:255; %generate LUT + LUT = k .* LUT .^ (2.2/3); + ref = LUT( ref_img + 1 ); + dst = LUT( dst_img + 1 ); +else % don't use the speed up + ref = k .* ref_img .^ (2.2/3); + dst = k .* dst_img .^ (2.2/3); +end + +[M N] = size( ref ); + +% ACCOUNT FOR CONTRAST SENSITIVITY +csf = make_csf( M, N, 32 )'; +ref = real( ifft2( ifftshift( fftshift( fft2( ref ) ).* csf ) ) ); +dst = real( ifft2( ifftshift( fftshift( fft2( dst ) ).* csf ) ) ); +refS = ref; +dstS = dst; + +% Use c code to get fast local stats +[std_2 std_1 m1_1] = ical_std( dst-ref, ref ); + +BSIZE = 16; + +Ci_ref = log(std_1./m1_1); % contrast of reference (also a measure of entropy) +Ci_dst = log(std_2./m1_1); % contrast of distortions (also a measure of entropy) +Ci_dst( find( m1_1 < G ) ) = -inf; + +msk = zeros( size(Ci_dst) ); +idx1 = find( (Ci_ref > Ci_thrsh) ... + & (Ci_dst > (C_slope * (Ci_ref - Ci_thrsh) + Cd_thrsh) ) ); +idx2 = find( (Ci_ref <= Ci_thrsh) & (Ci_dst > Cd_thrsh) ); + +msk(idx1) = ( Ci_dst( idx1 ) - (C_slope * (Ci_ref( idx1 )-Ci_thrsh) + Cd_thrsh) ) ./ ms_scale; +msk(idx2) = ( Ci_dst( idx2 ) - Cd_thrsh ) ./ ms_scale; +%= ( Contrast of heavy Dst - 0.75 * Contrast Ref ) / normalize +%= ( Contrast of low Dst - Threshold ) / normalize + +% Use lmse and weight by distortion mask +win = ones( BSIZE ) ./ BSIZE^2; + +% Michael Hirsch: replaced imfilter with filter2 which is shipped +% with MATLAB -> no need for image toolbox +%lmse = ( imfilter( ( double(ref_img) - double(dst_img) ).^2, ... +% win, 'symmetric', 'same', 'conv' ) ); +lmse = ( filter2( win, ( double(ref_img) - double(dst_img) ).^2, 'same' ) ); + +mp = msk .* lmse; + +% kill the edges +mp2 = mp( BSIZE+1:end-BSIZE-1, BSIZE+1:end-BSIZE-1); + +I = norm( mp2(:) , 2 ) ./ sqrt( length( mp2(:) ) ) .* 200; + +if( nargout > 2) + imgs.ref = refS; + imgs.dst = dstS; +end + + +end +%----------------------------------------------------- + +% %----------------------------------------------------- +function [I mp gabors] = lo_index( ref, dst ) +% Calculate the low quality index by calculating the Gabor analysis and +% then the local statistics, +% Author: Eric Larson +% Department of Electrical and Computer Engineering +% Oklahoma State University, 2008 +% Image Coding and analysis lab + + +% Decompose using Gabor Analysis +gabRef = gaborconvolve( double( ref ) ); +gabDst = gaborconvolve( double( dst ) ); + +[M N] = size( gabRef{1,1} ); +O = size( gabRef, 1 ) * size( gabRef, 2 ); +s = [0.5 0.75 1 5 6]; +mp = zeros( M, N ); +s = s./sum(s(:)); + + +if( nargout == 3) + gabors.dst = zeros( M, N, 5*4*3 ); + gabors.ref = zeros( M, N, 5*4*3 ); +end + +im_k = 0; +BSIZE = 16; +for gb_i = 1:5 + for gb_j = 1:4 + + im_k = im_k + 1; + fprintf('%d ',im_k) + + if( nargout == 3 ) + [gabors.ref(:,:,3*(im_k-1)+1), gabors.ref(:,:,3*(im_k-1)+2), gabors.ref(:,:,3*(im_k-1)+3)] ... + = ical_stat( abs( gabRef{gb_i,gb_j} ) ); + + [gabors.dst(:,:,3*(im_k-1)+1), gabors.dst(:,:,3*(im_k-1)+2), gabors.dst(:,:,3*(im_k-1)+3)] ... + = ical_stat( abs( gabDst{gb_i,gb_j} ) ); + + else + % otherwise keep memory footprint to a minimum + [std.ref, skw.ref, krt.ref] ... + = ical_stat( abs( gabRef{gb_i,gb_j} ) ); + [std.dst, skw.dst, krt.dst] ... + = ical_stat( abs( gabDst{gb_i,gb_j} ) ); + + mp = mp + s(gb_i) .* ( abs( std.ref - std.dst )... std + + 2.*abs( skw.ref - skw.dst )... skew + + abs( krt.ref - krt.dst ) ); % kurtosis + end + end +end + +fprintf('\n ') + +% kill the edges +mp2 = mp( BSIZE+1:end-BSIZE-1, BSIZE+1:end-BSIZE-1); + +I = norm( mp2 (:), 2 ) / sqrt( length( mp2(:) ) ) ; +% = norm of statistical diff map / ( root image size * normalization ) +end +%----------------------------------------------------- +% %----------------------------------------------------- +% function [I mp gabors] = lo_index( ref, dst ) +% % Calculate the low quality index by calculating the Gabor analysis and +% % then the local statistics, +% % Author: Eric Larson +% % Department of Electrical and Computer Engineering +% % Oklahoma State University, 2008 +% % Image Coding and analysis lab +% +% % Decompose using Gabor Analysis +% gabRef = gaborconvolve( double( ref ) ); +% gabDst = gaborconvolve( double( dst ) ); +% [M N] = size( gabRef{1,1} ); +% O = size( gabRef, 1 ) * size( gabRef, 2 ); +% s = [0.5 0.75 1 5 6]; +% mp = zeros( M, N ); +% mp_cell = cell(5*4,1); +% s = s./sum(s(:)); +% NAR = nargout; +% +% if( NAR == 3) +% % gabors.dst = zeros( M, N, 5*4*3 ); +% % gabors.ref = zeros( M, N, 5*4*3 ); +% gabors_dst1 = cell(5*4,1); +% gabors_dst2 = cell(5*4,1); +% gabors_dst3 = cell(5*4,1); +% gabors_ref1 = cell(5*4,1); +% gabors_ref2 = cell(5*4,1); +% gabors_ref3 = cell(5*4,1); +% end +% +% % im_k = 0; +% BSIZE = 16; +% % for gb_i = 1:5 +% % for gb_j = 1:4 +% % im_k = im_k + 1; +% if( NAR == 3 ) +% parfor it=1:20 +% im_k = it; +% gb_j = mod(it-1,4)+1; +% gb_i = (it - gb_j)/4 + 1; +% fprintf('%d ',im_k) +% % [gabors.ref(:,:,3*(im_k-1)+1), gabors.ref(:,:,3*(im_k-1)+2), gabors.ref(:,:,3*(im_k-1)+3)] ... +% % = ical_stat( abs( gabRef{gb_i,gb_j} ) ); +% [gabors_ref1{it} gabors_ref2{it} gabors_ref3{it}] = ical_stat( abs( gabRef{gb_i,gb_j} ) ); +% +% % [gabors.dst(:,:,3*(im_k-1)+1), gabors.dst(:,:,3*(im_k-1)+2), gabors.dst(:,:,3*(im_k-1)+3)] ... +% % = ical_stat( abs( gabDst{gb_i,gb_j} ) ); +% [gabors_dst1{it} gabors_dst2{it} gabors_dst3{it}] = ical_stat( abs( gabDst{gb_i,gb_j} ) ); +% end +% else +% parfor it=1:20 +% im_k = it; +% gb_j = mod(it-1,4)+1; +% gb_i = (it - gb_j)/4 + 1; +% fprintf('%d ',im_k) +% % otherwise keep memory footprint to a minimum +% [std_ref, skw_ref, krt_ref] ... +% = ical_stat( abs( gabRef{gb_i,gb_j} ) ); +% [std_dst, skw_dst, krt_dst] ... +% = ical_stat( abs( gabDst{gb_i,gb_j} ) ); +% +% mp_cell{it} = s(gb_i) .* ( abs( std_ref - std_dst )... std +% + 2.*abs( skw_ref - skw_dst )... skew +% + abs( krt_ref - krt_dst ) ); % kurtosis +% end +% end +% +% % Process variables after parfor! +% if( NAR == 3) +% gabors.dst = zeros( M, N, 5*4*3 ); +% gabors.ref = zeros( M, N, 5*4*3 ); +% for im_k=1:20 +% gabors.ref(:,:,3*(im_k-1)+1) = gabors_ref1{im_k}; +% gabors.ref(:,:,3*(im_k-1)+2) = gabors_ref2{im_k}; +% gabors.ref(:,:,3*(im_k-1)+3) = gabors_ref3{im_k}; +% gabors.dst(:,:,3*(im_k-1)+1) = gabors_dst1{im_k}; +% gabors.dst(:,:,3*(im_k-1)+2) = gabors_dst2{im_k}; +% gabors.dst(:,:,3*(im_k-1)+3) = gabors_dst3{im_k}; +% end +% else +% for it=1:20 +% mp = mp + mp_cell{it}; +% end +% end +% +% fprintf('\n ') +% +% % kill the edges +% mp2 = mp( BSIZE+1:end-BSIZE-1, BSIZE+1:end-BSIZE-1); +% +% I = norm( mp2 (:), 2 ) / sqrt( length( mp2(:) ) ) ; +% % = norm of statistical diff map / ( root image size * normalization ) +% end +% %----------------------------------------------------- + +%----------------------------------------------------- +function [res] = make_csf(x, y, nfreq) +[xplane,yplane]=meshgrid(-x/2+0.5:x/2-0.5, -y/2+0.5:y/2-0.5); % generate mesh +plane=(xplane+1i*yplane)/y*2*nfreq; +radfreq=abs(plane); % radial frequency + +% We modify the radial frequency according to angle. +% w is a symmetry parameter that gives approx. 3 dB down along the +% diagonals. +w=0.7; +s=(1-w)/2*cos(4*angle(plane))+(1+w)/2; +radfreq=radfreq./s; + +% Now generate the CSF +csf = 2.6*(0.0192+0.114*radfreq).*exp(-(0.114*radfreq).^1.1); +f=find( radfreq < 7.8909 ); csf(f)=0.9809+zeros(size(f)); + +res = csf; +end +%----------------------------------------------------- +% +% %----------------------------------------------------- +% function EO = gaborconvolve( im ) +% % GABORCONVOLVE - function for convolving image with log-Gabor filters +% % +% % Usage: EO = gaborconvolve(im, nscale, norient ) +% % +% % For details of log-Gabor filters see: +% % D. J. Field, "Relations Between the Statistics of Natural Images and the +% % Response Properties of Cortical Cells", Journal of The Optical Society of +% % America A, Vol 4, No. 12, December 1987. pp 2379-2394 +% % Notes on filter settings to obtain even coverage of the spectrum +% % dthetaOnSigma 1.5 +% % sigmaOnf .85 mult 1.3 +% % sigmaOnf .75 mult 1.6 (bandwidth ~1 octave) +% % sigmaOnf .65 mult 2.1 +% % sigmaOnf .55 mult 3 (bandwidth ~2 octaves) +% % +% % Author: Peter Kovesi +% % Department of Computer Science & Software Engineering +% % The University of Western Australia +% % pk@cs.uwa.edu.au www.cs.uwa.edu.au/~pk +% % +% % May 2001 +% % Altered, 2008, Eric Larson +% +% nscale = 5; %Number of wavelet scales. +% norient = 4; %Number of filter orientations. +% minWaveLength = 3; %Wavelength of smallest scale filter. +% mult = 3; %Scaling factor between successive filters. +% sigmaOnf = 0.55; %Ratio of the standard deviation of the +% %Gaussian describing the log Gabor filter's transfer function +% %in the frequency domain to the filter center frequency. +% %Orig: 3 6 12 27 64 +% wavelength = [minWaveLength ... +% minWaveLength*mult ... +% minWaveLength*mult^2 ... +% minWaveLength*mult^3 ... +% minWaveLength*mult^4 ]; +% +% dThetaOnSigma = 1.5; %Ratio of angular interval between filter orientations +% % and the standard deviation of the angular Gaussian +% % function used to construct filters in the +% % freq. plane. +% +% +% [rows cols] = size( im ); +% imagefft = fft2( im ); % Fourier transform of image +% +% EO = cell( nscale, norient ); % Pre-allocate cell array +% +% % Pre-compute to speed up filter construction +% +% x = ones(rows,1) * (-cols/2 : (cols/2 - 1))/(cols/2); +% y = (-rows/2 : (rows/2 - 1))' * ones(1,cols)/(rows/2); +% radius = sqrt(x.^2 + y.^2); % Matrix values contain *normalised* radius from centre. +% radius(round(rows/2+1),round(cols/2+1)) = 1; % Get rid of the 0 radius value in the middle +% % so that taking the log of the radius will +% % not cause trouble. +% +% % Precompute sine and cosine of the polar angle of all pixels about the +% % centre point +% +% theta = atan2(-y,x); % Matrix values contain polar angle. +% % (note -ve y is used to give +ve +% % anti-clockwise angles) +% sintheta = sin(theta); +% costheta = cos(theta); +% clear x; clear y; clear theta; % save a little memory +% +% thetaSigma = pi/norient/dThetaOnSigma; % Calculate the standard deviation of the +% % angular Gaussian function used to +% % construct filters in the freq. plane. +% % The main loop... +% for o = 1:norient, % For each orientation. +% fprintf('.'); +% angl = (o-1)*pi/norient; % Calculate filter angle. +% +% % Pre-compute filter data specific to this orientation +% % For each point in the filter matrix calculate the angular distance from the +% % specified filter orientation. To overcome the angular wrap-around problem +% % sine difference and cosine difference values are first computed and then +% % the atan2 function is used to determine angular distance. +% +% ds = sintheta * cos(angl) - costheta * sin(angl); % Difference in sine. +% dc = costheta * cos(angl) + sintheta * sin(angl); % Difference in cosine. +% dtheta = abs(atan2(ds,dc)); % Absolute angular distance. +% spread = exp((-dtheta.^2) / (2 * thetaSigma^2)); % Calculate the angular filter component. +% +% for s = 1:nscale, % For each scale. +% +% % Construct the filter - first calculate the radial filter component. +% fo = 1.0/wavelength(s); % Centre frequency of filter. +% rfo = fo/0.5; % Normalised radius from centre of frequency plane +% % corresponding to fo. +% % logGabor = exp( (-(log(radius/rfo)).^2) / (2 * log(sigmaOnf)^2) ); +% logGabor = exp( (-(log(radius/rfo)).^2) / (2 * log(sigmaOnf)^2) ); +% logGabor( round(rows/2+1), round(cols/2+1) ) = 0; % Set the value at the center of the filter +% % back to zero (undo the radius fudge). +% +% filter = fftshift( logGabor .* spread ); % Multiply by the angular spread to get the filter +% % and swap quadrants to move zero frequency +% % to the corners. +% +% % Do the convolution, back transform, and save the result in EO +% EO{s,o} = ifft2( imagefft .* filter ); +% +% +% end % ... and process the next scale +% +% end % For each orientation +% +% end +% %----------------------------------------------------- +function EO = gaborconvolve( im ) + +% GABORCONVOLVE - function for convolving image with log-Gabor filters +% +% Usage: EO = gaborconvolve(im, nscale, norient ) +% +% For details of log-Gabor filters see: +% D. J. Field, "Relations Between the Statistics of Natural Images and the +% Response Properties of Cortical Cells", Journal of The Optical Society of +% America A, Vol 4, No. 12, December 1987. pp 2379-2394 +% Notes on filter settings to obtain even coverage of the spectrum +% dthetaOnSigma 1.5 +% sigmaOnf .85 mult 1.3 +% sigmaOnf .75 mult 1.6 (bandwidth ~1 octave) +% sigmaOnf .65 mult 2.1 +% sigmaOnf .55 mult 3 (bandwidth ~2 octaves) +% +% Author: Peter Kovesi +% Department of Computer Science & Software Engineering +% The University of Western Australia +% pk@cs.uwa.edu.au www.cs.uwa.edu.au/~pk +% +% May 2001 +% Altered, 2008, Eric Larson +% Altered precomputations, 2011, Eric Larson + +nscale = 5; %Number of wavelet scales. +norient = 4; %Number of filter orientations. +minWaveLength = 3; %Wavelength of smallest scale filter. +mult = 3; %Scaling factor between successive filters. +sigmaOnf = 0.55; %Ratio of the standard deviation of the +%Gaussian describing the log Gabor filter's transfer function +%in the frequency domain to the filter center frequency. +%Orig: 3 6 12 27 64 +wavelength = [minWaveLength ... + minWaveLength*mult ... + minWaveLength*mult^2 ... + minWaveLength*mult^3 ... + minWaveLength*mult^4 ]; + +dThetaOnSigma = 1.5; %Ratio of angular interval between filter orientations +% and the standard deviation of the angular Gaussian +% function used to construct filters in the +% freq. plane. + + +[rows cols] = size( im ); +imagefft = fft2( im ); % Fourier transform of image + +EO = cell( nscale, norient ); % Pre-allocate cell array + +% Pre-compute to speed up filter construction +x = ones(rows,1) * (-cols/2 : (cols/2 - 1))/(cols/2); +y = (-rows/2 : (rows/2 - 1))' * ones(1,cols)/(rows/2); +radius = sqrt(x.^2 + y.^2); % Matrix values contain *normalised* radius from centre. +radius(round(rows/2+1),round(cols/2+1)) = 1; % Get rid of the 0 radius value in the middle +radius = log(radius); +% so that taking the log of the radius will +% not cause trouble. + +% Precompute sine and cosine of the polar angle of all pixels about the +% centre point + +theta = atan2(-y,x); % Matrix values contain polar angle. +% (note -ve y is used to give +ve +% anti-clockwise angles) +sintheta = sin(theta); +costheta = cos(theta); +clear x; clear y; clear theta; % save a little memory + +thetaSigma = pi/norient/dThetaOnSigma; % Calculate the standard deviation of the +% angular Gaussian function used to +% construct filters in the freq. plane. +rows = round(rows/2+1); +cols = round(cols/2+1); +% precompute the scaling filters +logGabors = cell(1,nscale); +for s = 1:nscale % For each scale. + + % Construct the filter - first calculate the radial filter component. + fo = 1.0/wavelength(s); % Centre frequency of filter. + rfo = fo/0.5; % Normalised radius from centre of frequency plane + % corresponding to fo. + tmp = -(2 * log(sigmaOnf)^2); + tmp2= log(rfo); + logGabors{s} = exp( (radius-tmp2).^2 /tmp ); + + logGabors{s}( rows, cols ) = 0; % Set the value at the center of the filter + % back to zero (undo the radius fudge). +end + + +% The main loop... +for o = 1:norient, % For each orientation. + fprintf('.'); + angl = (o-1)*pi/norient; % Calculate filter angle. + + % Pre-compute filter data specific to this orientation + % For each point in the filter matrix calculate the angular distance from the + % specified filter orientation. To overcome the angular wrap-around problem + % sine difference and cosine difference values are first computed and then + % the atan2 function is used to determine angular distance. + + ds = sintheta * cos(angl) - costheta * sin(angl); % Difference in sine. + dc = costheta * cos(angl) + sintheta * sin(angl); % Difference in cosine. + dtheta = abs(atan2(ds,dc)); % Absolute angular distance. + spread = exp((-dtheta.^2) / (2 * thetaSigma^2)); % Calculate the angular filter component. + + for s = 1:nscale, % For each scale. + + filter = fftshift( logGabors{s} .* spread ); % Multiply by the angular spread to get the filter + % and swap quadrants to move zero frequency + % to the corners. + + % Do the convolution, back transform, and save the result in EO + EO{s,o} = ifft2( imagefft .* filter ); + + + end % ... and process the next scale + +end % For each orientation + +end +% function [mp alpha I] = adapt_map( map, thresh ) +% +% if( ndims(map.LO) == 1 ) +% hi = map.HI; +% lo = map.LO; +% else +% hi = sum( map.HI, 3 ) ./ 3; +% lo = map.LO; +% end +% +% b1 = exp( -thresh(1)/thresh(2) ); +% b2 = 1 / ( log(10)*thresh(2) ); +% +% alpha = 1 ./ ( 1 + b1 .* (abs(hi).^b2) ); +% +% mp = hi.^(alpha) .* lo.^(1-alpha); +% +% BSIZE = 16; +% mp2 = mp( BSIZE+1:end-BSIZE-1, BSIZE+1:end-BSIZE-1); +% I = mean( mp2 (:) ) ; +% end +% +% %----------------------------------------------------- +% function s = stdmod( block ) +% +% [a b] = size( block ); +% b11 = block( 1:a/2 , 1:b/2 ); +% b12 = block( 1:a/2 , b/2+1:b ); +% b21 = block( a/2+1:a, 1:b/2 ); +% b22 = block( a/2+1:a, b/2+1:b ); +% +% s = min( [ std( b11(:) ), std( b12(:) ), ... +% std( b21(:) ), std( b22(:) )] ); +% end +% %----------------------------------------------------- \ No newline at end of file diff --git a/evaluate/evaluation_code/README.txt b/evaluate/evaluation_code/README.txt new file mode 100644 index 0000000..957b1eb --- /dev/null +++ b/evaluate/evaluation_code/README.txt @@ -0,0 +1,65 @@ +================================================================= +This README File explains how to change and call the +start_eval_image.m script to evaluate the (PSNR) scores of your +deblurred images. + +ECCV 2012, Recording and playback of camera shake: +benchmarking blind deconvolution with a real-world database +Rolf Koehler, Michael Hirsch, Betty Mohler, Bernhard Schölkopf, +Stefan Harmeling + +corresponding author: rolf.koehler[ATAT]tuebingen.mpg.de +================================================================= + + +================================================================= +HOW TO SAVE AND NAME DEBLURRED IMAGES. +----------------------------------------------------------------- + * Deblurred images should be saved in a lossless format, e.g. 'png'. + * Specify the path where you moved the evaluation scripts, + the path where the deblurred images are saved to + the name of the deblurred images and + the img format, e.g. MYPATH = '~/EvalDeblur' + DEBLPATH = '~/deblurFolder' + DEBLNAME = 'Muller' + IMGEXT = 'png' + * NOTE: The deblurred images should be named in the following way + DEBLNAME{img_No}_{Kernel_No}.IMGEXT + e.g. Muller3_8.png (for image 3, Kernel 8) + + +================================================================= +HOW TO CALL THE .m SCRIPT = HOW TO GET THE PSNR SCORE OF AN IMAGE +----------------------------------------------------------------- + * copy the downloaded 48 GroundTruth$i_$j.mat files into the folder + groundTruthMatFiles + * in start_eval_image.m specify the path where you moved the evaluation scripts, + the name of the deblurred images and the + img format, e.g. MYPATH = '~/EvalDeblur' + DEBLPATH = '~/deblurFolder' + DEBLNAME = 'Muller' + IMGEXT = 'png' + * specify the metric you want to use (for the ECCV Paper only the + 'PSNR' metric was used. For the journal version also other metrics + will be used. + * Define the image numbers which you want to evaluate + * you can also define the images which you want to exclude, in case + you do not want to compute the score for all 4 * 12 images + + +================================================================= +RESULTS +----------------------------------------------------------------- +Each deblurred image is compared with around 200 ground truth images. +So in total you get for each deblurred image around 200 scores. +start_eval_image.m returns only a struct with the best score for each +deblurred image. + + +================================================================= +QUESTIONS? +----------------------------------------------------------------- +If any questions remained, we'll try to answer them: +rolf.koehler[ATAT]tuebingen.mpg.de + + diff --git a/evaluate/evaluation_code/dftregistration.m b/evaluate/evaluation_code/dftregistration.m new file mode 100644 index 0000000..386efb7 --- /dev/null +++ b/evaluate/evaluation_code/dftregistration.m @@ -0,0 +1,212 @@ + + +function [output Greg] = dftregistration(buf1ft,buf2ft,usfac) +% function [output Greg] = dftregistration(buf1ft,buf2ft,usfac); +% Efficient subpixel image registration by crosscorrelation. This code +% gives the same precision as the FFT upsampled cross correlation in a +% small fraction of the computation time and with reduced memory +% requirements. It obtains an initial estimate of the crosscorrelation peak +% by an FFT and then refines the shift estimation by upsampling the DFT +% only in a small neighborhood of that estimate by means of a +% matrix-multiply DFT. With this procedure all the image points are used to +% compute the upsampled crosscorrelation. +% Manuel Guizar - Dec 13, 2007 + +% Portions of this code were taken from code written by Ann M. Kowalczyk +% and James R. Fienup. +% J.R. Fienup and A.M. Kowalczyk, "Phase retrieval for a complex-valued +% object by using a low-resolution image," J. Opt. Soc. Am. A 7, 450-458 +% (1990). + +% Citation for this algorithm: +% Manuel Guizar-Sicairos, Samuel T. Thurman, and James R. Fienup, +% "Efficient subpixel image registration algorithms," Opt. Lett. 33, +% 156-158 (2008). + +% Inputs +% buf1ft Fourier transform of reference image, +% DC in (1,1) [DO NOT FFTSHIFT] +% buf2ft Fourier transform of image to register, +% DC in (1,1) [DO NOT FFTSHIFT] +% usfac Upsampling factor (integer). Images will be registered to +% within 1/usfac of a pixel. For example usfac = 20 means the +% images will be registered within 1/20 of a pixel. (default = 1) + +% Outputs +% output = [error,diffphase,net_row_shift,net_col_shift] +% error Translation invariant normalized RMS error between f and g +% diffphase Global phase difference between the two images (should be +% zero if images are non-negative). +% net_row_shift net_col_shift Pixel shifts between images +% Greg (Optional) Fourier transform of registered version of buf2ft, +% the global phase difference is compensated for. + +% Default usfac to 1 +if exist('usfac')~=1, usfac=1; end + +% Compute error for no pixel shift +if usfac == 0, + CCmax = sum(sum(buf1ft.*conj(buf2ft))); + rfzero = sum(abs(buf1ft(:)).^2); + rgzero = sum(abs(buf2ft(:)).^2); + error = 1.0 - CCmax.*conj(CCmax)/(rgzero*rfzero); + error = sqrt(abs(error)); + diffphase=atan2(imag(CCmax),real(CCmax)); + output=[error,diffphase]; + +% Whole-pixel shift - Compute crosscorrelation by an IFFT and locate the +% peak +elseif usfac == 1, + [m,n]=size(buf1ft); + CC = ifft2(buf1ft.*conj(buf2ft)); + [max1,loc1] = max(CC); + [max2,loc2] = max(max1); + rloc=loc1(loc2); + cloc=loc2; + CCmax=CC(rloc,cloc); + rfzero = sum(abs(buf1ft(:)).^2)/(m*n); + rgzero = sum(abs(buf2ft(:)).^2)/(m*n); + error = 1.0 - CCmax.*conj(CCmax)/(rgzero(1,1)*rfzero(1,1)); + error = sqrt(abs(error)); + diffphase=atan2(imag(CCmax),real(CCmax)); + md2 = fix(m/2); + nd2 = fix(n/2); + if rloc > md2 + row_shift = rloc - m - 1; + else + row_shift = rloc - 1; + end + + if cloc > nd2 + col_shift = cloc - n - 1; + else + col_shift = cloc - 1; + end + output=[error,diffphase,row_shift,col_shift]; + +% Partial-pixel shift +else + + % First upsample by a factor of 2 to obtain initial estimate + % Embed Fourier data in a 2x larger array + [m,n]=size(buf1ft); + mlarge=m*2; + nlarge=n*2; + CC=zeros(mlarge,nlarge); + CC(m+1-fix(m/2):m+1+fix((m-1)/2),n+1-fix(n/2):n+1+fix((n-1)/2)) = ... + fftshift(buf1ft).*conj(fftshift(buf2ft)); + + % Compute crosscorrelation and locate the peak + CC = ifft2(ifftshift(CC)); % Calculate cross-correlation + [max1,loc1] = max(CC); + [max2,loc2] = max(max1); + rloc=loc1(loc2);cloc=loc2; + CCmax=CC(rloc,cloc); + + % Obtain shift in original pixel grid from the position of the + % crosscorrelation peak + [m,n] = size(CC); md2 = fix(m/2); nd2 = fix(n/2); + if rloc > md2 + row_shift = rloc - m - 1; + else + row_shift = rloc - 1; + end + if cloc > nd2 + col_shift = cloc - n - 1; + else + col_shift = cloc - 1; + end + row_shift=row_shift/2; + col_shift=col_shift/2; + + % If upsampling > 2, then refine estimate with matrix multiply DFT + if usfac > 2, + %%% DFT computation %%% + % Initial shift estimate in upsampled grid + row_shift = round(row_shift*usfac)/usfac; + col_shift = round(col_shift*usfac)/usfac; + dftshift = fix(ceil(usfac*1.5)/2); %% Center of output array at dftshift+1 + % Matrix multiply DFT around the current shift estimate + CC = conj(dftups(buf2ft.*conj(buf1ft),ceil(usfac*1.5),ceil(usfac*1.5),usfac,... + dftshift-row_shift*usfac,dftshift-col_shift*usfac))/(md2*nd2*usfac^2); + % Locate maximum and map back to original pixel grid + [max1,loc1] = max(CC); + [max2,loc2] = max(max1); + rloc = loc1(loc2); cloc = loc2; + CCmax = CC(rloc,cloc); + rg00 = dftups(buf1ft.*conj(buf1ft),1,1,usfac)/(md2*nd2*usfac^2); + rf00 = dftups(buf2ft.*conj(buf2ft),1,1,usfac)/(md2*nd2*usfac^2); + rloc = rloc - dftshift - 1; + cloc = cloc - dftshift - 1; + row_shift = row_shift + rloc/usfac; + col_shift = col_shift + cloc/usfac; + + % If upsampling = 2, no additional pixel shift refinement + else + rg00 = sum(sum( buf1ft.*conj(buf1ft) ))/m/n; + rf00 = sum(sum( buf2ft.*conj(buf2ft) ))/m/n; + end + error = 1.0 - CCmax.*conj(CCmax)/(rg00*rf00); + error = sqrt(abs(error)); + diffphase=atan2(imag(CCmax),real(CCmax)); + % If its only one row or column the shift along that dimension has no + % effect. We set to zero. + if md2 == 1, + row_shift = 0; + end + if nd2 == 1, + col_shift = 0; + end + output=[error,diffphase,row_shift,col_shift]; +end + +% Compute registered version of buf2ft +if (nargout > 1)&&(usfac > 0), + [nr,nc]=size(buf2ft); + Nr = ifftshift([-fix(nr/2):ceil(nr/2)-1]); + Nc = ifftshift([-fix(nc/2):ceil(nc/2)-1]); + [Nc,Nr] = meshgrid(Nc,Nr); + Greg = buf2ft.*exp(i*2*pi*(-row_shift*Nr/nr-col_shift*Nc/nc)); + Greg = Greg*exp(i*diffphase); +elseif (nargout > 1)&&(usfac == 0) + Greg = buf2ft*exp(i*diffphase); +end +return + +function out=dftups(in,nor,noc,usfac,roff,coff) +% function out=dftups(in,nor,noc,usfac,roff,coff); +% Upsampled DFT by matrix multiplies, can compute an upsampled DFT in just +% a small region. +% usfac Upsampling factor (default usfac = 1) +% [nor,noc] Number of pixels in the output upsampled DFT, in +% units of upsampled pixels (default = size(in)) +% roff, coff Row and column offsets, allow to shift the output array to +% a region of interest on the DFT (default = 0) +% Recieves DC in upper left corner, image center must be in (1,1) +% Manuel Guizar - Dec 13, 2007 +% Modified from dftus, by J.R. Fienup 7/31/06 + +% This code is intended to provide the same result as if the following +% operations were performed +% - Embed the array "in" in an array that is usfac times larger in each +% dimension. ifftshift to bring the center of the image to (1,1). +% - Take the FFT of the larger array +% - Extract an [nor, noc] region of the result. Starting with the +% [roff+1 coff+1] element. + +% It achieves this result by computing the DFT in the output array without +% the need to zeropad. Much faster and memory efficient than the +% zero-padded FFT approach if [nor noc] are much smaller than [nr*usfac nc*usfac] + +[nr,nc]=size(in); +% Set defaults +if exist('roff')~=1, roff=0; end +if exist('coff')~=1, coff=0; end +if exist('usfac')~=1, usfac=1; end +if exist('noc')~=1, noc=nc; end +if exist('nor')~=1, nor=nr; end +% Compute kernels and obtain DFT by matrix products +kernc=exp((-i*2*pi/(nc*usfac))*( ifftshift([0:nc-1]).' - floor(nc/2) )*( [0:noc-1] - coff )); +kernr=exp((-i*2*pi/(nr*usfac))*( [0:nor-1].' - roff )*( ifftshift([0:nr-1]) - floor(nr/2) )); +out=kernr*in*kernc; +return diff --git a/evaluate/evaluation_code/eval_image.m b/evaluate/evaluation_code/eval_image.m new file mode 100644 index 0000000..55b5142 --- /dev/null +++ b/evaluate/evaluation_code/eval_image.m @@ -0,0 +1,106 @@ +function scores = eval_image(deblurred,img,kernel,metric) +% BENCHMARK_EVAL_IMAGE computes various quality measures given +% a deblurred image and the corresponding ID, i.e. you have to +% provide the image and kernel number +% +% Michael Hirsch and Rolf Koehler (c) 2012 + +addpath(genpath('image_quality_algorithms')) + +% ----------------------------------------------------------------- +% Check that input images are 8bit. +% To use the image quality assessment algorithms the images have to be in 8 +% bit, with a maximum value of 255, so not normalized. +% ----------------------------------------------------------------- +if ( ~isa(deblurred, 'uint8') || size(deblurred,3)~=3 ) + error('Input image has to be a color image of type uint8!'); +end + +% load in .mat containing Ground Truth images +load(sprintf('groundTruthMatFiles/GroundTruth%d_%d.mat', ... + img,kernel)); + +% z will denote the estimated, i.e. deblurred image +z = double(deblurred); + +% Create constant image which will act as a mask +c = ones(size(deblurred)); + +% Initialize containers for quality measures + mse = []; + mssim = []; + vif = []; + ifc = []; + psnr = []; + mad = []; + +N = size(GroundTruth,4); +idGt = 1:N; + +% For whatever reason ground truth image of (1,3) is missing + if img == 1 && kernel == 3 + idGt = [1:29,31:198]; + end + +% ================================================================= +% compute the image quality measure score +% ----------------------------------------------------------------- +for j = idGt + fprintf(['Processing motive %d of 4, kernel %d of 12, image %d ' ... + 'of %d for metric %s \n'], img, kernel,j, N,metric); + + % Load ground truth image, denoted by x + x = double(GroundTruth(:,:,:,j)); + xf = fft2(mean(x,3)); + + % Scale image intensity + zs = (sum(vec(x.*z)) / sum(vec(z.*z))) .* z; + zf = fft2(mean(zs,3)); + + % Estimate shift by registering deblurred to ground truth image + [output Greg] = dftregistration(xf, zf, 1); + shift = output(3:4); + + % Apply shift + cr = imshift(double(c), shift, 'same'); + zr = imshift(double(zs), shift, 'same'); + xr = x.*cr; + + % Compute various quality measures + switch metric + case 'MSE' + mse = [mse metrix_mux(xr, zr, 'MSE')]; + case 'MSSIM' + mssim = [mssim metrix_mux(xr, zr, 'MSSIM')]; + case 'VIF' + vif = [vif metrix_mux(xr, zr, 'VIF')]; + case 'IFC' + ifc = [ifc metrix_mux(xr, zr, 'IFC')]; + case 'PSNR' + psnr = [psnr metrix_mux(xr, zr, 'PSNR')]; + case 'MAD' + MAD_temp = MAD_index(xr, zr); + mad = [mad MAD_temp.MAD]; + end +end + +% ================================================================= +% Save results +% ----------------------------------------------------------------- +switch metric + case 'MSE' + scores.MSE = mse; + case 'MSSIM' + scores.MSSIM = mssim; + case 'VIF' + scores.VIF = vif; + case 'IFC' + scores.IFC = ifc; + case 'PSNR' + scores.PSNR = psnr; + case 'MAD' + scores.MAD = mad; +end + +return + diff --git a/evaluate/evaluation_code/get_best_metric_value2.m b/evaluate/evaluation_code/get_best_metric_value2.m new file mode 100644 index 0000000..2208e41 --- /dev/null +++ b/evaluate/evaluation_code/get_best_metric_value2.m @@ -0,0 +1,18 @@ +function val = get_best_metric_value2(score,metric,img,kernel) + +switch metric + case 'MSE' + val = abs(min(score(:))); + case 'PSNR' + val = abs(max(score(:))); + case 'MSSIM' + val = abs(max(score(:))); + case 'MAD' + val = abs(min(score(:))); + case 'IFC' + val = abs(max(score(:))); + case 'VIF' + val = abs(max(score(:))); +end + +return \ No newline at end of file diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/configure_metrix_mux.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/configure_metrix_mux.m new file mode 100644 index 0000000..ded6c31 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/configure_metrix_mux.m @@ -0,0 +1,88 @@ +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% +%%% FUNCTION: configure_metrix_mux +%%% +%%% INPUTS: NONE +%%% +%%% OUTPUTS: NONE +%%% +%%% CHANGES: Sets the Matlab path variable to include folders that execute +%%% quality metric computation routines contained in the MeTriX MuX +%%% package, and compiles any non-Matlab code used for faster +%%% computation. Specifically, the routine searches for any .m file +%%% in the 'metrix' folder starting with the prefix +%%% 'compile_metrix_' and executes it. +%%% +%%% NOTES: This routine is the universal setup command for the MeTriX MuX +%%% package. All configuration operations for the package are +%%% accomplished by calling +%%% +%%% >> configure_metrix_mux +%%% +%%% from the Matlab prompt. +%%% +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% Author: Matthew Gaubatz +%%% Version: 1.0 +%%% Date: 01/05/2007 +%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% Copyright (c) 2007 Visual Communications Lab, Cornell University +%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% Permission to use, copy, modify, distribute and sell this software +%%% and its documentation for any purpose is hereby granted without fee, +%%% provided that the above copyright notice appear in all copies and +%%% that both that copyright notice and this permission notice appear +%%% in supporting documentation. VCL makes no representations about +%%% the suitability of this software for any purpose. +%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% DISCLAIMER: +%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% The code provided hereunder is provided as is without warranty +%%% of any kind, either express or implied, including but not limited +%%% to the implied warranties of merchantability and fitness for a +%%% particular purpose. The author(s) shall in no event be liable for +%%% any damages whatsoever including direct, indirect, incidental, +%%% consequential, loss of business profits or special damages. +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +function configure_metrix_mux + +%%% +%%% add MeTriX MuX routines to the Matlab path +%%% +fprintf('Setting MeTriX MuX path...'); +configure_metrix_mux_name = 'configure_metrix_mux.m'; +configure_metrix_mux_path = which( configure_metrix_mux_name ); +metrix_mux_path = configure_metrix_mux_path( 1:end-length( configure_metrix_mux_name ) ); +path( genpath(metrix_mux_path), path ); +savepath; +fprintf('[Done!]\n'); + +%%% +%%% create list of compilation routines +%%% +fprintf('Compiling list of compilations routines...'); +compile_file_list = dir('metrix/compile_metrix_*.m'); +fprintf('%i found...', length(compile_file_list)); +fprintf('[Done!]\n'); + +%%% +%%% execute compilation routines +%%% +fprintf('Executing compilation routines...\n'); +for k = 1:length(compile_file_list) + + %%% + %%% removing the '.m' from each compilation file + %%% name to retrieve the routine to be invoked + %%% + compile_command_k = compile_file_list(k).name(1:end-2); + fprintf('%i - %s\n', k, compile_command_k ); + feval( compile_command_k ); + +end +fprintf('[Done!]\n'); + +test_metrix_mux; diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/get_name_cell_metrix_mux.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/get_name_cell_metrix_mux.m new file mode 100644 index 0000000..944f685 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/get_name_cell_metrix_mux.m @@ -0,0 +1,55 @@ +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% +%%% FUNCTION: get_name_cell_metrix_mux +%%% +%%% INPUTS: NONE +%%% +%%% OUTPUTS: A cell containg the names of all metrix indicator strings +%%% associated with metrics supported by the MeTriX MuX +%%% package. +%%% +%%% CHANGES: NONE +%%% +%%% NOTES: If support for an additional algorithm is added, an appropriate +%%% indicator string should be added using this routine. +%%% +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% Author: Matthew Gaubatz +%%% Version: 1.1 +%%% Date: 01/05/2007 +%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% Copyright (c) 2007 Visual Communications Lab, Cornell University +%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% Permission to use, copy, modify, distribute and sell this software +%%% and its documentation for any purpose is hereby granted without fee, +%%% provided that the above copyright notice appear in all copies and +%%% that both that copyright notice and this permission notice appear +%%% in supporting documentation. VCL makes no representations about +%%% the suitability of this software for any purpose. +%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% DISCLAIMER: +%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% The code provided hereunder is provided as is without warranty +%%% of any kind, either express or implied, including but not limited +%%% to the implied warranties of merchantability and fitness for a +%%% particular purpose. The author(s) shall in no event be liable for +%%% any damages whatsoever including direct, indirect, incidental, +%%% consequential, loss of business profits or special damages. +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +function metrix_name_cell = get_name_cell_metrix_mux + +metrix_name_cell{1} = 'mse'; +metrix_name_cell{2} = 'psnr'; +metrix_name_cell{3} = 'ssim'; +metrix_name_cell{4} = 'mssim'; +metrix_name_cell{5} = 'vsnr'; +metrix_name_cell{6} = 'vif'; +metrix_name_cell{7} = 'vifp'; +metrix_name_cell{8} = 'uqi'; +metrix_name_cell{9} = 'ifc'; +metrix_name_cell{10} = 'nqm'; +metrix_name_cell{11} = 'wsnr'; +metrix_name_cell{12} = 'snr'; diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/index.html b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/index.html new file mode 100644 index 0000000..731361a --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/index.html @@ -0,0 +1,305 @@ + + + + +MetriX MuX Home Page + + + + + + + +=====================================================
+MeTriX MuX Visual Quality Assessment Package README (v. 1.1)      Version 1.1 has been released! To read more about this version, click here. +
+=====================================================
+
+1. Introduction: WHAT MeTriX MuX is, and WHO should use it. +

+2. Installation: HOW to obtain and configure MeTriX MuX. +

+3. Instructions: HOW to use MeTriX MuX. +

+4. Organization: HOW the files in the package are structured. +

+5. Modification: WHAT has been done to code written by other researchers. +

+6. Information: WHERE users can learn more about visual quality assessment algorithms. +

+7. Invitation: WHERE to send comments or feedback, which is encouraged! +

+8. Modernization: WHICH bugs have been fixed, and what features have been added (versioning information). +

+
+ + +===============
+1. INTRODUCTION
+===============
+
+MeTriX MuX is a Matlab package that implements wrapper code for a variety of visual quality assessment algorithms. A visual quality assessment algorithm is a function that assesses the difference between an original image and a distorted version of the image. The algorithms involved in this package, for the most part, were designed to operate on two images of the same size. If the images are not the same size, then the algorithms included herein do not necessarily apply. +

+Please notice that the quality assessment algorithms included in this package are the product of the devout research and hard work of many different researchers. The authors of this particular package are not in any way trying to take credit for any of the algorithms. In fact, many of these hard working researchers have made code available that computes the respective quality assessment algorithms, for which the authors are extremely grateful. As a result, almost all of the quality assessment code that appears in this package in its original form. +

+The only contribution of this package, if anything, is wrapper code. The intent of the authors is to make a large number of quality assessment algorithms accessible through a common interface, and to facilitate error condition checks such that it should be possible to apply any quality assessment algorithm with any pair of images. Back when Ezra Cornell was working on image quality assessment, he dropped this gem, which has become our M.O.: +

+"I would create a Matlab-based image quality assessment package such that any two images can be compared with any quality assessment algorithm on any platform [running Matlab R14 or higher]." +

+Who should use MeTriX MuX? If you are already quite skilled in the art, and have formed opinions regarding what algorithms are useful for what tasks, perhaps this package is not of interest. On the other hand, if you are curious about how a visual quality assessment algorithm might be applied to a particular problem, and you would like to throw a handful of approaches at the problem with minimal effort, then MeTriX MuX is for you! +

+
+ + +===============
+2. INSTALLATION
+===============
+
+1. Download http://foulard.ece.cornell.edu/gaubatz/metrix_mux/metrix_mux_1.1.zip.
+2. Extract the contents of this file to your hard drive.
+3. Obtain a copy of Matlab R14 or higher.
+4. Start Matlab, and set your directory to the newly extracted 'metrix_mux' folder.
+5. Run the + +configure_metrix_mux script. +That is, at the prompt, type +

+>> configure_metrix_mux +

+Presumably, if you are reading this file, you have at least completed steps 1 and 2 successfully. All the configuration script does is update the Matlab path and run some MEX-file building routines. If the +configure_metrix_mux routine completes successfully, the package should "just work". Earlier versions of Matlab may be supported eventually, and some may even work now, but this release of the package is only geared towards Matlab releases 14 and up. +

+
+ + +===============
+3. INSTRUCTIONS
+===============
+
+1. Read an image into Matlab.
+2. Read a distorted version of that image into Matlab.
+3. Call the metrix_mux function, with the original image as the first argument, the distorted image as the second argument, and a descriptor representing which algorithm to use to compare them for the third argument.
+

+The following snippet of code illustrates how, for example, the package should be used to compare 'lena.png' with a distorted version of the same image, 'lena_messed_up.png', using structural similarity index to measure the difference between the two. +

+ >> reference_image = double( imread('lena.png') );
+>> distorted_image = double( imread('lena_messed_up.png') );
+>> distorted_ssim_index = metrix_mux( reference_image, distorted_image, 'SSIM' );
+
+IMPORTANT NOTE: This package expects that input image data is scaled as it would be in a typical image file, that is, that the digital values of the pixels fall in the range [0,255]. If the input images are not of the class double, they will be converted to that class before the assessment algorithm is applied. Bounds checking is not performed by this package to avoid accessing each pixel before applying an assessment algorithm. +

+The algorithms currently supported by this package, and their associated indicators, are listed in the table below: +

+ + + + + + + + + + + + + + +
algorithm      indicator string
mean-squared-error      'MSE'
peak signal-to-noise-ratio      'PSNR'
structural similarity index      'SSIM'
multi-scale SSIM index      'MSSIM'
visual signal-to-noise ratio      'VSNR'
visual information fidelity      'VIF'
pixel-based VIF      'VIFP'
universal quality index      'UQI'
information fidelity criterion      'IFC'
noise quality measure      'NQM'
weighted signal-to-noise ratio      'WSNR'
signal-to-noise ratio      'SNR'
+

+There is an "advanced" mode of use that is as follows. Some of the algorithms require an image to be a certain size in order to function properly. Normally, the package performs this preprocessing automatically, but if you are inclined to use the same image for several different comparisons, you can call the preprocessing routine, +preprocess_metrix_mux, explicitly to prevent the preprocessing routine from doing the same operation multiple times for the same image: +

+>> reference_image = imread('lena.png') );
+>> reference_image = preprocess_metrix_mux( reference_image );
+>> distorted_image = imread('lena_messed_up.png');
+>> distorted_image = preprocess_metrix_mux( distorted_image );
+>>
+>> distorted_ssim_index = metrix_mux( reference_image, distorted_image, 'SSIM' );
+>> distorted_psnr = metrix_mux( reference_image, distorted_image, 'PSNR' );
+>>
+>> really_distorted_image = imread('lena_really_messed_up.png');
+>> really_distorted_ssim_index = metrix_mux( reference_image, really_distorted_image, 'SSIM' );
+
+In this case, since the "really" distorted image is only used during one comparison, there is nothing gained by manually calling the preprocessing routine, so it is not called. Also, each image is converted to the double class by the preprocess_metrix_mux routine. +In the previous example above, this conversion was not necessary. This preprocessing routine is applied to each image that is passed to the metrix_mux function. If no further preprocessing is required, however, this routine has no effect. +
+
+ANOTHER IMPORTANT NOTE: Please be very aware of what the preprocessing function does, even if you do not intend to call it explicitly. If 'IFC','VIF','VSNR' or 'WSNR' are to be applied, the image is symmetrically extended in both dimensions until each dimension is a multiple of 32 and is at least 128. If the image is a color image, regardless of algorithm is to be applied, the image is converted to a grayscale representation. (Future releases may support color images, but the present version does not.) +

+
+ + +===============
+4. ORGANIZATION
+===============
+
+The files included in this package are organized into the following structure. Folder are indicated with '+' signs, and files are denoted with '-' signs. The '.' characters represent files or folders that are not named (for space). +

++ MeTriX MuX [base directory] +

+     - metrix_mux.m +[the main gateway to quality assessment algorithms]
+     - preprocess_metrix_mux.m +[preprocessing routine, called by +metrix_mux]
+     - +configure_metrix_mux.m +[installation script]
+     - +test_metrix_mux.m +[test script, called by the installation script]
+     - +readme.html [an HTML-based overview of this package]
+
+ + metrix [algorithm-specific wrapper files] +

+     - +metrix_mse.m +[mean-squared-error wrapper]
+     - +metrix_ssim.m +[structural similarity wrapper]
+     - +metrix_vsnr.m +[visual signal-to-noise-ratio wrapper]
+     - +compile_metrix_vsnr.m +[VSNR MEX hook builder]
+     .
+     .
+     .
+     + ssim [folder with designer-written SSIM index computation code]
+     + vsnr [folder with designer-written VSNR computation code]
+     .
+     .
+     .
+
+ + utilities [non-algorithm-specific routines] +

+     + matlabPyrTools [a Matlab steerable pyramid package]
+     + dwt2d [two-dimensional discrete wavelet transform Matlab code]
+
+

+The main folder contains 5 files: an installation script, a test routine, a preprocessing command, an algorithm computation command, and an .html instructions file. Every user will need to run the installation script, +configure_metrix_mux, once and will access algorithm computation routines through +metrix_mux. The +metrix_mux routine will call the preprocessing routine, which will modify the input images to allow the assessment algorithms to be applied, if necessary. The test routine is called by the installation script to test that the installed package actually works. +

+Code in the 'metrix' folder contains wrappers for each individual algorithm, as well as custom build routines for compiling any non-Matlab code (non-.m file routines, such as MEX interfaces). +

+Each algorithm wrapper is in a file titled 'metrix_' followed by the name of the algorithm. (While this choice may seem redundant and somewhat unnecessary, it results in much cleaner code than a single file with a giant ugly switch statement.) In the same way, each custom build routine is called 'compile_metrix_', followed by the name of the algorithm. The +'metrix_' functions are called from the +metrix_mux command, and the + 'compile_metrix_' functions are called from the +configure_metrix_mux command. The subfolders within this folder contain designer-created algorithm computation routines, specific to the algorithm denoted by the name of the subfolder. The subfolders of the 'utilities' folder contains code to compute transforms that is called by several of the assessment algorithms. +

+YET ANOTHER IMPORTANT NOTE: Code that implements a steerable pyramid decomposition is needed by several of the algorithms included in this package. As a result, the matlabPyrTools package has been included in entirety expressly for this purpose. To learn more about the steerable pyramid decomposition, click here. +This decomposition contains several computationally intensive steps. Furthermore, there are in existence a variety of optimizations that speed some of these steps up. If you are one of the intrepid researchers who has established a fully-functioning optimized version of the matlabPyrTools package, by all means, use that version instead of the one included in this package! If it works really well, why not share it? +

+
+ + +===============
+5. MODIFICATION
+===============
+
+Some algorithms have been modified to create a more portable package, but all code provided by image quality assessment algorithm designers has been retained in its original form. If the package uses a modified version of a file created by a different author, the suffix _modified is attached the file name. Furthermore, all comments added by the author of the MeTriX MuX package appear in these particular files as %%%MM%%%, to make the nature of the modifications as clear as possible. Modified files are always placed in the same folders as the originals. +

+
+ + +==============
+6. INFORMATION
+==============
+
+Again, the author did not design any of the algorithms included in this package, but only has provided wrapper code such that a variety of algorithms can be easily accessed through a common interface. This package is available at the following website: +

+http://foulard.ece.cornell.edu/gaubatz/metrix_mux/ +

+This package uses each included quality assessment algorithm with default settings for input parameters. Interested users are strongly encouraged to read the documentation associated with individual quality assessment algorithms in order to gain a better understanding of how to use the algorithms. +

+More information for the included algorithms and/or original code can be found at the following websites: +

+ + + + + + + + + + + + + + + + + + + +
algorithmwebsite
mean-squared-error (MSE)    http://foulard.ece.cornell.edu/gaubatz/metrix_mux/MSE.html
peak signal-to-noise ratio (PSNR)    [see above]
signal-to-noise ratio (SNR)    [see above]
    
structural similarity (SSIM) index    http://www.ece.uwaterloo.ca/~z70wang/research/ssim/
multi-scale SSIM index    [see above]
    
visual signal-to-noise ratio (VSNR)    http://foulard.ece.cornell.edu/dmc27/vsnr/vsnr.html
    
visual information fidelity (VIF)    http://live.ece.utexas.edu/research/quality/
pixel-based VIF    [see above]
information fidelity criterion (IFC)    [see above]
    
universal quality index (UQI)    http://www.cns.nyu.edu/~zwang/files/research/quality_index/demo.html
    
noise quality measure (NQM)    http://signal.ece.utexas.edu/software/
weighted signal-to-noise ratio (WSNR)    [see above]
+

+ + +=============
+7. INVITATION
+=============
+The goal of this package is to provide convenient, portable, efficient access to image quality assessment algorithms in Matlab. This goal has not yet been achieved in full, but progress has been made. Initial focus is on portability, and later releases will involved optimizations. +

+Please send all comments, questions, suggestions of feedback (especially if you would like to contribute) to + +

+Thanks! +

+ + +================
+8. MODERNIZATION
+================
+This section is dedicated to explanations regarding new releases, the latest features, bug fixes, as well as access to previous versions of MeTriX MuX. +

+MeTriX MuX Version 1.1 represents the latest release, with some bug fixes and additional features. Here's what's new in version 1.1:

+
  • modified code has been added such that NQM and WSNR functions work with non-square images
    • +
  • the standard signal-to-noise-ratio (SNR) ratio is now included
    • +
  • bug fix: the default angle in metrix_nqm.m is now computed in degrees (instead of radians)
    • +
  • bug fix: metrix_wsnr.m calls code to compute WSNR (instead of IFC)
    • +
  • bug fix: metrix_mux.m handles numerical indicator strings without causing an error
    • +

    +Special thanks the Daniele Ticca and David Rouse for their input! +

    +Download older versions here: +

    +MeTriX MuX Version 1.0 + +
    +
    +
    + + + +=============================
    +EXPLANATION and DISCLAMATION
    +=============================
    +It should be noted that the name of the package implies that it acts as multiplexor for image quality metrics, which strictly speaking, are not the same things as quality assessment algorithms. The authors realize that it is not necessarily appropriate to refer to a given quality assessment algorithm as a "metric", since in the mathematical sense, it may not be one. They feel, however, that the notational convenience of referring to a quality assessment tool colloquially, if not incorrectly, as a "metric" outweighs the chore of using one the multi-syllabic alternatives. To remind users that the package does not in fact act as a wrapper for quality metrics, the word "metric" is transmogrified into the form "metrix". Also, according to a limited set of test users, the title "metrix_mux" was more memorable than the technically more correct yet loquacious alternative, "perceptual_quality_assessment_algorithm_mux". +

    +The wrapper code included in this package is provided as is without warranty of any kind, either express or implied, including but not limited to the implied warranties of merchantability and fitness for a particular purpose. The author(s) shall in no event be liable for any damages whatsoever including direct, indirect, incidental, consequential, loss of business profits or special damages. +     +     + + + + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/compile_metrix_vsnr.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/compile_metrix_vsnr.m new file mode 100644 index 0000000..0ea926d --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/compile_metrix_vsnr.m @@ -0,0 +1,59 @@ +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% +%%% FUNCTION: compile_metrix_vsnr +%%% +%%% INPUTS: NONE +%%% +%%% OUTPUTS: NONE +%%% +%%% CHANGES: Builds a MEX interface to a DWT routine called by the VSNR +%%% metric code; if the build does not succeed, the package defaults +%%% to using a Matlab-only approach. Currently, the MEX interface +%%% is only supported for newer Windows-based platforms. +%%% +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% Author: Matthew Gaubatz +%%% Version: 1.0 +%%% Date: 01/05/2007 +%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% Copyright (c) 2007 Visual Communications Lab, Cornell University +%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% Permission to use, copy, modify, distribute and sell this software +%%% and its documentation for any purpose is hereby granted without fee, +%%% provided that the above copyright notice appear in all copies and +%%% that both that copyright notice and this permission notice appear +%%% in supporting documentation. VCL makes no representations about +%%% the suitability of this software for any purpose. +%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% DISCLAIMER: +%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% The code provided hereunder is provided as is without warranty +%%% of any kind, either express or implied, including but not limited +%%% to the implied warranties of merchantability and fitness for a +%%% particular purpose. The author(s) shall in no event be liable for +%%% any damages whatsoever including direct, indirect, incidental, +%%% consequential, loss of business profits or special damages. +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +function compile_metric_vsnr + +fprintf(' Building VSNR MEX interface for DWT...'); + +if ispc == 1 + fprintf('(Windows)...'); + try + compile_imdwt_modified('imdwt_modified.dll'); + catch + fprintf(' [Failed!]\n'); + fprintf(' Defaulting to Matlab-based DWT...'); + end +else + fprintf('(Linux/Mac)...'); + fprintf(' [Not Supported!]\n'); + fprintf(' Defaulting to Matlab-based DWT...'); +end + +fprintf('[Success!]\n'); + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/ifc/ifcvec_release/distsub_est_M.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/ifc/ifcvec_release/distsub_est_M.m new file mode 100644 index 0000000..2a05725 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/ifc/ifcvec_release/distsub_est_M.m @@ -0,0 +1,70 @@ +function [g_all, vv_all]=vifsub_est_M(org,dist, subbands, M); + +% uses convolution for determining the parameters of the distortion channel +% Called by vifvec.m + +tol = 1e-15; % tolernace for zero variance. Variance below this is set to zero, and zero is set to this value to avoid numerical issues. + + +for i=1:length(subbands) + sub=subbands(i); + y=org{sub}; + yn=dist{sub}; + + % compute the size of the window used in the distortion channel estimation + lev=ceil((sub-1)/6); + winsize=2^lev+1; offset=(winsize-1)/2; + win = ones(winsize); + + % force subband size to be multiple of M + newsize=floor(size(y)./M)*M; + y=y(1:newsize(1),1:newsize(2)); + yn=yn(1:newsize(1),1:newsize(2)); + + % Correlation with downsampling. This is faster than downsampling after + % computing full correlation. + winstep=[M M]; + winstart=[1 1].*floor(M/2)+1; + winstop=size(y)-ceil(M/2)+1; + + % mean + mean_x = corrDn(y,win/sum(win(:)),'reflect1',winstep, winstart,winstop); + mean_y = corrDn(yn,win/sum(win(:)),'reflect1',winstep, winstart,winstop); + % cov + cov_xy = corrDn(y.*yn, win, 'reflect1',winstep, winstart,winstop) - sum(win(:)).*mean_x.*mean_y; + % var + ss_x = corrDn(y.^2,win, 'reflect1',winstep, winstart,winstop) - sum(win(:)).*mean_x.^2; + ss_y = corrDn(yn.^2,win, 'reflect1',winstep, winstart,winstop) - sum(win(:)).*mean_y.^2; + + + % get rid of numerical problems, very small negative numbers, or very + % small positive numbers, or other theoretical impossibilities. + ss_x(ss_x<0)=0; + ss_y(ss_y<0)=0; + + % Regression + g = cov_xy./(ss_x+tol); + + % Variance of error in regression + vv = (ss_y - g.*cov_xy)/(sum(win(:))); + + % get rid of numerical problems, very small negative numbers, or very + % small positive numbers, or other theoretical impossibilities. + g (ss_x < tol) = 0; + vv (ss_x < tol) = ss_y (ss_x < tol); + ss_x(ss_x 5) + ssim_index = -Inf; + ssim_map = -Inf; + return; +end + +if (size(img1) ~= size(img2)) + ssim_index = -Inf; + ssim_map = -Inf; + return; +end + +[M N] = size(img1); + +if (nargin == 2) + if ((M < 11) | (N < 11)) + ssim_index = -Inf; + ssim_map = -Inf; + return + end + window = fspecial('gaussian', 11, 1.5); % + K(1) = 0.01; % default settings + K(2) = 0.03; % + L = 255; % +end + +if (nargin == 3) + if ((M < 11) | (N < 11)) + ssim_index = -Inf; + ssim_map = -Inf; + return + end + window = fspecial('gaussian', 11, 1.5); + L = 255; + if (length(K) == 2) + if (K(1) < 0 | K(2) < 0) + ssim_index = -Inf; + ssim_map = -Inf; + return; + end + else + ssim_index = -Inf; + ssim_map = -Inf; + return; + end +end + +if (nargin == 4) + [H W] = size(window); + if ((H*W) < 4 | (H > M) | (W > N)) + ssim_index = -Inf; + ssim_map = -Inf; + return + end + L = 255; + if (length(K) == 2) + if (K(1) < 0 | K(2) < 0) + ssim_index = -Inf; + ssim_map = -Inf; + return; + end + else + ssim_index = -Inf; + ssim_map = -Inf; + return; + end +end + +if (nargin == 5) + [H W] = size(window); + if ((H*W) < 4 | (H > M) | (W > N)) + ssim_index = -Inf; + ssim_map = -Inf; + return + end + if (length(K) == 2) + if (K(1) < 0 | K(2) < 0) + ssim_index = -Inf; + ssim_map = -Inf; + return; + end + else + ssim_index = -Inf; + ssim_map = -Inf; + return; + end +end + +C1 = (K(1)*L)^2; +C2 = (K(2)*L)^2; +window = window/sum(sum(window)); +img1 = double(img1); +img2 = double(img2); + +mu1 = filter2(window, img1, 'valid'); +mu2 = filter2(window, img2, 'valid'); +mu1_sq = mu1.*mu1; +mu2_sq = mu2.*mu2; +mu1_mu2 = mu1.*mu2; +sigma1_sq = filter2(window, img1.*img1, 'valid') - mu1_sq; +sigma2_sq = filter2(window, img2.*img2, 'valid') - mu2_sq; +sigma1 = real(sqrt(sigma1_sq)); +sigma2 = real(sqrt(sigma2_sq)); +sigma12 = filter2(window, img1.*img2, 'valid') - mu1_mu2; + +if (C1 > 0 && C2 > 0) + M = (2*mu1_mu2 + C1)./(mu1_sq + mu2_sq + C1); + V = (2*sigma1.*sigma2 + C2)./(sigma1_sq + sigma2_sq + C2); + R = (sigma12 + C2/2)./(sigma1.*sigma2+C2/2); + ssim_map = M.*V.*R; +else + ssim_ln = 2*mu1_mu2; + ssim_ld = mu1_sq + mu2_sq; + M = ones(size(mu1)); + index_l = (ssim_ld>0); + M(index_l) = ssim_ln(index_l)./ssim_ld(index_l); + + ssim_cn = 2*sigma1.*sigma2; + ssim_cd = sigma1_sq + sigma2_sq; + V = ones(size(mu1)); + index_c = (ssim_cd>0); + V(index_c) = ssim_cn(index_c)./ssim_cd(index_c); + + ssim_sn = sigma12; + ssim_sd = sigma1.*sigma2; + R = ones(size(mu1)); + index1 = sigma1>0; + index2 = sigma2>0; + index_s = (index1.*index2>0); + R(index_s) = ssim_sn(index_s)./ssim_sd(index_s); + index_s = (index1.*not(index2)>0); + R(index_s) = 0; + index_s = (not(index1).*index2>0); + R(index_s) = 0; + + ssim_map = M.*V.*R; +end + +ssim = mean2(ssim_map); + +%%%MM%%% +%%%MM%%% [BEGIN CHANGE] +%%%MM%%% + +%%%MM%%% +%%%MM%%% create per-component maps +%%%MM%%% +map_obj.M = M; +map_obj.V = V; +map_obj.R = R; + +%%%MM%%% +%%%MM%%% compute per-component map mean values +%%%MM%%% +composite_mean_vec = [mean2(M) mean2(V) mean2(R)]; + +%%%MM%%% +%%%MM%%% [END CHANGE] +%%%MM%%% + +return \ No newline at end of file diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/nqm/ImageQuality/cmaskn.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/nqm/ImageQuality/cmaskn.m new file mode 100644 index 0000000..61a08c6 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/nqm/ImageQuality/cmaskn.m @@ -0,0 +1,23 @@ +%Bradley and Ozhawa masking functions +%Niranjan Damera-Venkata +%March 1998 + +function y=cmaskn(c,ci,a,ai,i,N) + +c=c(:); +ci=ci(:); + +t=find(abs(ci)>1); +ci(t)=1; +ai=ai(:); +a=a(:); + +ct=ctf(i); +T=ct*(.86*((c/ct)-1)+.3); + +a1=find( (abs(ci-c)-T)<0); + +ai(a1)=a(a1); + +y=reshape(ai,N,N); + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/nqm/ImageQuality/ctf.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/nqm/ImageQuality/ctf.m new file mode 100644 index 0000000..1676bb1 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/nqm/ImageQuality/ctf.m @@ -0,0 +1,13 @@ +%Bandpass contrast threshold function +%You may want to modify the default function based on your imaging system +%measurements +%Niranjan Damera-Venkata +% March 1998 + +function y=ctf(f_r) +s=size(f_r); +f_r=f_r(:); + +y=1./(200*(2.6*(0.0192+0.114*(f_r)).*exp(-(0.114*(f_r)).^(1.1)))); + +y=reshape(y,s(1),s(2)); diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/nqm/ImageQuality/dm.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/nqm/ImageQuality/dm.m new file mode 100644 index 0000000..613227d --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/nqm/ImageQuality/dm.m @@ -0,0 +1,32 @@ +function y=dm(H,nfreq) +%DM Distortion measure for linear frequency distortion +% RATIO = DM(DTF, NFREQ) computes the normalized CSF weighted +% deviation of the DTF from unity in visual passband. +% NFREQ is the nyquist frequency +% The user must compute the 2-D DTF(radial averaging not required) +% for his/her system. +% +% Ref: N. Damera-Venkata, T. Kite, W. Geisler, B. Evans and A. Bovik, "Image +% Quality Assessment Based on a Degradation Model", IEEE Trans. on Image +% Processing, Vol. 9, No. 4, Apr. 2000 (see pg 641 on computing DTF) +% +% Ref: G. Arslan, M. Valliappan, and B. L. Evans, ``Quality Assessment of +% Compression Techniques for Synthetic Aperture Radar Images'', Proc. IEEE Int. +% Conf. on Image Processing, Oct. 25-28, 1999, vol. III, pp. 857-861, Kobe, Japan. +% +% The version implemented here is from Arslan et. al. +% This is a modified verion of the DM of Damera-Venkata et. al. + +% Function calls: WEIGHT_FREQ_CSF + +% Niranjan Damera-Venkata +% August 2000 + + +[wt, csf] = weight_freq_csf(abs(ones(size(H))-H),nfreq); +num = sum(sum(wt)); +den = sum(sum(abs(csf))); + +y = (num/den); + + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/nqm/ImageQuality/gthresh.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/nqm/ImageQuality/gthresh.m new file mode 100644 index 0000000..fa8d2b8 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/nqm/ImageQuality/gthresh.m @@ -0,0 +1,13 @@ +%Global detection thresholds +%Niranjan Damera-Venkata +%March 1998 + +function y=gthresh(x,T,z,N) + +x=x(:); +z=z(:); +a=find(abs(x)=1])+4.*(~([r+2<=4].*[r+2>=1])) )-pi)); + +G_1=0.5*(1+cos(pi*log2(r.*([r<=4].*[r>=1])+4.*(~([r<=4].*[r>=1])) )-pi)); + +G_2=0.5*(1+cos(pi*log2(r.*([r>=2].* [r<=8])+.5.*(~([r>=2].* [r<=8]))))); + +G_3=0.5*(1+cos(pi*log2(r.*([r>=4].*[r<=16])+4.*(~([r>=4].*[r<=16])) )-pi)); + +G_4=0.5*(1+cos(pi*log2(r.*([r>=8].* [r<=32])+.5.*(~([r>=8].* [r<=32]))))); + +G_5=0.5*(1+cos(pi*log2(r.*([r>=16].*[r<=64])+4.*(~([r>=16].*[r<=64])) )-pi)); + + +GS_0=fftshift(G_0); +GS_1=fftshift(G_1); +GS_2=fftshift(G_2); +GS_3=fftshift(G_3); +GS_4=fftshift(G_4); +GS_5=fftshift(G_5); + + +L_0=((GS_0).*FO); LI_0=(GS_0.*FI); + +l_0=real(ifft2(L_0));li_0=real(ifft2(LI_0)); + +A_1=GS_1.*FO; AI_1=(GS_1.*FI); + +a_1=real(ifft2(A_1));ai_1=real(ifft2(AI_1)); + +A_2=GS_2.*FO;AI_2=GS_2.*FI; + +a_2=real(ifft2(A_2));ai_2=real(ifft2(AI_2)); + +A_3=GS_3.*FO;AI_3=GS_3.*FI; + +a_3=real(ifft2(A_3));ai_3=real(ifft2(AI_3)); + +A_4=GS_4.*FO;AI_4=GS_4.*FI; + +a_4=real(ifft2(A_4));ai_4=real(ifft2(AI_4)); + +A_5=GS_5.*FO;AI_5=GS_5.*FI; + +a_5=real(ifft2(A_5));ai_5=real(ifft2(AI_5)); + + +clear FO; +clear FI; + +clear G_0; +clear G_1; +clear G_2; +clear G_3; +clear G_4; +clear G_5; + + +clear GS_0; +clear GS_1; +clear GS_2; +clear GS_3; +clear GS_4; +clear GS_5; + +%%%%%%%%%%%%%%%%%%%%%Compute contrast images%%%%%%%%%%%%%%%%%%% +c1=((a_1./(l_0))); +c2=(a_2./(l_0+a_1)); +c3=(a_3./(l_0+a_1+a_2)); +c4=(a_4./(l_0+a_1+a_2+a_3)); +c5=(a_5./(l_0+a_1+a_2+a_3+a_4)); + +ci1=(ai_1./(li_0)); +ci2=(ai_2./(li_0+ai_1)); +ci3=(ai_3./(li_0+ai_1+ai_2)); +ci4=(ai_4./(li_0+ai_1+ai_2+ai_3)); +ci5=(ai_5./(li_0+ai_1+ai_2+ai_3+ai_4)); + + +%%%%%%%%%%%%%%%%%%%%%%Detection Thresholds%%%%%%%%%%%%%%%%%%%%%% + +d1=ctf(2/VA); +d2=ctf(4/VA); +d3=ctf(8/VA); +d4=ctf(16/VA); +d5=ctf(32/VA); + +%%%%%%%%%%%%%%%%%%Account for suprathrshold effects (See Bradley and Ozhawa)%%%% +ai_1=cmaskn(c1,ci1,a_1,ai_1,1,N); +ai_2=cmaskn(c2,ci2,a_2,ai_2,2,N); +ai_3=cmaskn(c3,ci3,a_3,ai_3,3,N); +ai_4=cmaskn(c4,ci4,a_4,ai_4,4,N); +ai_5=cmaskn(c5,ci5,a_5,ai_5,5,N); + +%%%%%%%%%%Apply detection thresholds%%%%%%%%%%%%%%%%%%%%%% +A_1=gthresh(c1,d1,a_1,N);AI_1=gthresh(ci1,d1,ai_1,N); +A_2=gthresh(c2,d2,a_2,N);AI_2=gthresh(ci2,d2,ai_2,N); +A_3=gthresh(c3,d3,a_3,N);AI_3=gthresh(ci3,d3,ai_3,N); +A_4=gthresh(c4,d4,a_4,N);AI_4=gthresh(ci4,d4,ai_4,N); +A_5=gthresh(c5,d5,a_5,N);AI_5=gthresh(ci5,d5,ai_5,N); + + +%%%%%%%%reconstruct images%%%%%%%%%%%%%%%%%%% +y1=(A_1+A_2+A_3+A_4+A_5); +y2=(AI_1+AI_2+AI_3+AI_4+AI_5); + +%%%%%%%%%%%%%%%compute SNR%%%%%%%%%%%%%%%%%%%% +square_err=(y1-y2).*(y1-y2); +np=sum(sum(square_err)); + +sp=sum(sum(y1.^2)); + +y=10*log10(sp/np); + + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/nqm/ImageQuality/nqm_modified.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/nqm/ImageQuality/nqm_modified.m new file mode 100644 index 0000000..cbab6d8 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/nqm/ImageQuality/nqm_modified.m @@ -0,0 +1,242 @@ +function y=nqm(O,I,VA,N) +%%%MM%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%%MM%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%%MM%%% NQM, Modified Version +%%%MM%%% +%%%MM%%% The author of this modified version is with the Visual +%%%MM%%% Communications Laboratory, in department of Electrical and +%%%MM%%% Computer Engineering at Cornell University. The original +%%%MM%%% code was written by Niranjan Damera-Venkata at U.T. Austin. All +%%%MM%%% of the information and documentation provided with the original +%%%MM%%% code is included below. +%%%MM%%% +%%%MM%%% This version of the NQM computation routine is identical to the +%%%MM%%% original routine, except that it can handle non-square images. +%%%MM%%% The functions 'cmaskn' and 'gthresh' are no longer called; +%%%MM%%% instead, locally defined versions of the same routines, extended +%%%MM%%% for the same purpose, are invoked. +%%%MM%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%%MM%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%%MM%%% Author: Matthew Gaubatz +%%%MM%%% Version: 1.0 +%%%MM%%% Date: 04/15/2007 +%%%MM%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%%MM%%% Copyright (c) 2007 Visual Communications Lab, Cornell University +%%%MM%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%%MM%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%NQM Nonlinear Weighted Signal to noise ratio for additive noise. +% RATIO = NQM(MOD_RES,RES,ANGLE, DIM) computes the nonlinear weighted signal to +% noise ratio of the restored image MOD_RES with respect to the model +% restored image MOD_RES and returns the result in dB. +% ANGLE is the viewing angle. DIM is the [DIM DIM] dimension of the image +% +% Note that NQM is a measure of additive noise only. The model restored +% image is assumed to have the same freq. distortion as the restored image. +% +% Function calls: CTF, CMASKN, GTHRESH +% +% Ref: N. Damera-Venkata, T. Kite, W. Geisler, B. Evans and A. Bovik, "Image +% Quality Assessment Based on a Degradation Model", IEEE Trans. on Image +% Processing, Vol. 9, No. 4, Apr. 2000 +% +% Ref: E. Peli, "Contrast in Complex Images", Journal of the Optical +% Society of America A, Vol. 7, No. 10, Oct. 1990 +% +% See also CSFMOD, CSF, PSNR, WSNR +% +% Niranjan Damera-Venkata March 1998 + + +[x,y]=size(O); + +%%%MM%%% +%%%MM%%% [BEGIN CHANGE] +%%%MM%%% +%%%MM%%%[xplane,yplane]=meshgrid(-x/2:x/2-1); +[xplane,yplane]=meshgrid(-y/2:y/2-1,-x/2:x/2-1); +%%%MM%%% +%%%MM%%% [END CHANGE] +%%%MM%%% +plane=(xplane+i*yplane); +r=abs(plane); + +FO=fft2(O); +FI=fft2(I); + + +%%%%%%%%%%% Decompose image with cosine log filter bank %%%%%%%%%%%%%%%% +G_0=0.5*(1+cos(pi*log2((r+2).*([r+2<=4].*[r+2>=1])+4.*(~([r+2<=4].*[r+2>=1])) )-pi)); + +G_1=0.5*(1+cos(pi*log2(r.*([r<=4].*[r>=1])+4.*(~([r<=4].*[r>=1])) )-pi)); + +G_2=0.5*(1+cos(pi*log2(r.*([r>=2].* [r<=8])+.5.*(~([r>=2].* [r<=8]))))); + +G_3=0.5*(1+cos(pi*log2(r.*([r>=4].*[r<=16])+4.*(~([r>=4].*[r<=16])) )-pi)); + +G_4=0.5*(1+cos(pi*log2(r.*([r>=8].* [r<=32])+.5.*(~([r>=8].* [r<=32]))))); + +G_5=0.5*(1+cos(pi*log2(r.*([r>=16].*[r<=64])+4.*(~([r>=16].*[r<=64])) )-pi)); + + +GS_0=fftshift(G_0); +GS_1=fftshift(G_1); +GS_2=fftshift(G_2); +GS_3=fftshift(G_3); +GS_4=fftshift(G_4); +GS_5=fftshift(G_5); + + +L_0=((GS_0).*FO); LI_0=(GS_0.*FI); + +l_0=real(ifft2(L_0));li_0=real(ifft2(LI_0)); + +A_1=GS_1.*FO; AI_1=(GS_1.*FI); + +a_1=real(ifft2(A_1));ai_1=real(ifft2(AI_1)); + +A_2=GS_2.*FO;AI_2=GS_2.*FI; + +a_2=real(ifft2(A_2));ai_2=real(ifft2(AI_2)); + +A_3=GS_3.*FO;AI_3=GS_3.*FI; + +a_3=real(ifft2(A_3));ai_3=real(ifft2(AI_3)); + +A_4=GS_4.*FO;AI_4=GS_4.*FI; + +a_4=real(ifft2(A_4));ai_4=real(ifft2(AI_4)); + +A_5=GS_5.*FO;AI_5=GS_5.*FI; + +a_5=real(ifft2(A_5));ai_5=real(ifft2(AI_5)); + + +clear FO; +clear FI; + +clear G_0; +clear G_1; +clear G_2; +clear G_3; +clear G_4; +clear G_5; + + +clear GS_0; +clear GS_1; +clear GS_2; +clear GS_3; +clear GS_4; +clear GS_5; + +%%%%%%%%%%%%%%%%%%%%%Compute contrast images%%%%%%%%%%%%%%%%%%% +c1=((a_1./(l_0))); +c2=(a_2./(l_0+a_1)); +c3=(a_3./(l_0+a_1+a_2)); +c4=(a_4./(l_0+a_1+a_2+a_3)); +c5=(a_5./(l_0+a_1+a_2+a_3+a_4)); + +ci1=(ai_1./(li_0)); +ci2=(ai_2./(li_0+ai_1)); +ci3=(ai_3./(li_0+ai_1+ai_2)); +ci4=(ai_4./(li_0+ai_1+ai_2+ai_3)); +ci5=(ai_5./(li_0+ai_1+ai_2+ai_3+ai_4)); + + +%%%%%%%%%%%%%%%%%%%%%%Detection Thresholds%%%%%%%%%%%%%%%%%%%%%% + +d1=ctf(2/VA); +d2=ctf(4/VA); +d3=ctf(8/VA); +d4=ctf(16/VA); +d5=ctf(32/VA); + +%%%%%%%%%%%%%%%%%%Account for suprathrshold effects (See Bradley and Ozhawa)%%%% +%%%MM%%% +%%%MM%%% [BEGIN CHANGE] +%%%MM%%% +%%%MM%%% the following change replaces two external function with locally +%%%MM%%% defined versions capable of handling non-square images +%%%MM%%% +%%%MM%%% ai_1=cmaskn(c1,ci1,a_1,ai_1,1,N); +%%%MM%%% ai_2=cmaskn(c2,ci2,a_2,ai_2,2,N); +%%%MM%%% ai_3=cmaskn(c3,ci3,a_3,ai_3,3,N); +%%%MM%%% ai_4=cmaskn(c4,ci4,a_4,ai_4,4,N); +%%%MM%%% ai_5=cmaskn(c5,ci5,a_5,ai_5,5,N); +ai_1=cmaskn_modified(c1,ci1,a_1,ai_1,1); +ai_2=cmaskn_modified(c2,ci2,a_2,ai_2,2); +ai_3=cmaskn_modified(c3,ci3,a_3,ai_3,3); +ai_4=cmaskn_modified(c4,ci4,a_4,ai_4,4); +ai_5=cmaskn_modified(c5,ci5,a_5,ai_5,5); + +%%%%%%%%%%Apply detection thresholds%%%%%%%%%%%%%%%%%%%%%% +%%%MM%%% A_1=gthresh(c1,d1,a_1,N);AI_1=gthresh(ci1,d1,ai_1,N); +%%%MM%%% A_2=gthresh(c2,d2,a_2,N);AI_2=gthresh(ci2,d2,ai_2,N); +%%%MM%%% A_3=gthresh(c3,d3,a_3,N);AI_3=gthresh(ci3,d3,ai_3,N); +%%%MM%%% A_4=gthresh(c4,d4,a_4,N);AI_4=gthresh(ci4,d4,ai_4,N); +%%%MM%%% A_5=gthresh(c5,d5,a_5,N);AI_5=gthresh(ci5,d5,ai_5,N); +A_1=gthresh_modified(c1,d1,a_1);AI_1=gthresh_modified(ci1,d1,ai_1); +A_2=gthresh_modified(c2,d2,a_2);AI_2=gthresh_modified(ci2,d2,ai_2); +A_3=gthresh_modified(c3,d3,a_3);AI_3=gthresh_modified(ci3,d3,ai_3); +A_4=gthresh_modified(c4,d4,a_4);AI_4=gthresh_modified(ci4,d4,ai_4); +A_5=gthresh_modified(c5,d5,a_5);AI_5=gthresh_modified(ci5,d5,ai_5); + +%%%MM%%% +%%%MM%%% [END CHANGE] +%%%MM%%% + +%%%%%%%%reconstruct images%%%%%%%%%%%%%%%%%%% +y1=(A_1+A_2+A_3+A_4+A_5); +y2=(AI_1+AI_2+AI_3+AI_4+AI_5); + +%%%%%%%%%%%%%%%compute SNR%%%%%%%%%%%%%%%%%%%% +square_err=(y1-y2).*(y1-y2); +np=sum(sum(square_err)); + +sp=sum(sum(y1.^2)); + +y=10*log10(sp/np); + + +%%%MM%%% +%%%MM%%% [BEGIN CHANGE] +%%%MM%%% +%%%MM%%% +%%%MM%%% the following two helper functions were added to help this +%%%MM%%% function process non-square images +%%%MM%%% +function y=cmaskn_modified(c,ci,a,ai,i) +[H,W] = size(c); + +c=c(:); +ci=ci(:); + +t=find(abs(ci)>1); +ci(t)=1; +ai=ai(:); +a=a(:); + +ct=ctf(i); +T=ct*(.86*((c/ct)-1)+.3); + +a1=find( (abs(ci-c)-T)<0); + +ai(a1)=a(a1); + +y=reshape(ai,H,W); + +function y=gthresh_modified(x,T,z) + +[H,W] = size(x); + +x=x(:); +z=z(:); +a=find(abs(x) 5) + ssim_index = -Inf; + ssim_map = -Inf; + return; +end + +if (size(img1) ~= size(img2)) + ssim_index = -Inf; + ssim_map = -Inf; + return; +end + +[M N] = size(img1); + +if (nargin == 2) + if ((M < 11) | (N < 11)) + ssim_index = -Inf; + ssim_map = -Inf; + return + end + window = fspecial('gaussian', 11, 1.5); % + K(1) = 0.01; % default settings + K(2) = 0.03; % + L = 255; % +end + +if (nargin == 3) + if ((M < 11) | (N < 11)) + ssim_index = -Inf; + ssim_map = -Inf; + return + end + window = fspecial('gaussian', 11, 1.5); + L = 255; + if (length(K) == 2) + if (K(1) < 0 | K(2) < 0) + ssim_index = -Inf; + ssim_map = -Inf; + return; + end + else + ssim_index = -Inf; + ssim_map = -Inf; + return; + end +end + +if (nargin == 4) + [H W] = size(window); + if ((H*W) < 4 | (H > M) | (W > N)) + ssim_index = -Inf; + ssim_map = -Inf; + return + end + L = 255; + if (length(K) == 2) + if (K(1) < 0 | K(2) < 0) + ssim_index = -Inf; + ssim_map = -Inf; + return; + end + else + ssim_index = -Inf; + ssim_map = -Inf; + return; + end +end + +if (nargin == 5) + [H W] = size(window); + if ((H*W) < 4 | (H > M) | (W > N)) + ssim_index = -Inf; + ssim_map = -Inf; + return + end + if (length(K) == 2) + if (K(1) < 0 | K(2) < 0) + ssim_index = -Inf; + ssim_map = -Inf; + return; + end + else + ssim_index = -Inf; + ssim_map = -Inf; + return; + end +end + +C1 = (K(1)*L)^2; +C2 = (K(2)*L)^2; +window = window/sum(sum(window)); +img1 = double(img1); +img2 = double(img2); + +mu1 = filter2(window, img1, 'valid'); +mu2 = filter2(window, img2, 'valid'); +mu1_sq = mu1.*mu1; +mu2_sq = mu2.*mu2; +mu1_mu2 = mu1.*mu2; +sigma1_sq = filter2(window, img1.*img1, 'valid') - mu1_sq; +sigma2_sq = filter2(window, img2.*img2, 'valid') - mu2_sq; +sigma12 = filter2(window, img1.*img2, 'valid') - mu1_mu2; + +if (C1 > 0 & C2 > 0) + ssim_map = ((2*mu1_mu2 + C1).*(2*sigma12 + C2))./((mu1_sq + mu2_sq + C1).*(sigma1_sq + sigma2_sq + C2)); +else + numerator1 = 2*mu1_mu2 + C1; + numerator2 = 2*sigma12 + C2; + denominator1 = mu1_sq + mu2_sq + C1; + denominator2 = sigma1_sq + sigma2_sq + C2; + ssim_map = ones(size(mu1)); + index = (denominator1.*denominator2 > 0); + ssim_map(index) = (numerator1(index).*numerator2(index))./(denominator1(index).*denominator2(index)); + index = (denominator1 ~= 0) & (denominator2 == 0); + ssim_map(index) = numerator1(index)./denominator1(index); +end + +mssim = mean2(ssim_map); + +return diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/uqi/img_qi.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/uqi/img_qi.m new file mode 100644 index 0000000..0093194 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/uqi/img_qi.m @@ -0,0 +1,118 @@ +function [quality, quality_map] = img_qi(img1, img2, block_size) + +%======================================================================== +% +%Copyright (c) 2001 The University of Texas at Austin +%All Rights Reserved. +% +%This program is free software; you can redistribute it and/or modify +%it under the terms of the GNU General Public License as published by +%the Free Software Foundation; either version 2 of the License, or +%(at your option) any later version. +% +%This program is distributed in the hope that it will be useful, +%but WITHOUT ANY WARRANTY; without even the implied warranty of +%MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +%GNU General Public License for more details. +% +%The GNU Public License is available in the file LICENSE, or you +%can write to the Free Software Foundation, Inc., 59 Temple Place - +%Suite 330, Boston, MA 02111-1307, USA, or you can find it on the +%World Wide Web at http://www.fsf.org. +% +%Author : Zhou Wang +%Version : 1.0 +% +%The authors are with the Laboratory for Image and Video Engineering +%(LIVE), Department of Electrical and Computer Engineering, The +%University of Texas at Austin, Austin, TX. +% +%Kindly report any suggestions or corrections to zwang@ece.utexas.edu +% +%Acknowledgement: +%The author would like to thank Mr. Umesh Rajashekar, the Matlab master +%in our lab, for spending his precious time and giving his kind help +%on writing this program. Without his help, this program would not +%achieve its current efficiency. +% +%======================================================================== +% +%This is an efficient implementation of the algorithm for calculating +%the universal image quality index proposed by Zhou Wang and Alan C. +%Bovik. Please refer to the paper "A Universal Image Quality Index" +%by Zhou Wang and Alan C. Bovik, published in IEEE Signal Processing +%Letters, 2001. In order to run this function, you must have Matlab's +%Image Processing Toobox. +% +%Input : an original image and a test image of the same size +%Output: (1) an overall quality index of the test image, with a value +% range of [-1, 1]. +% (2) a quality map of the test image. The map has a smaller +% size than the input images. The actual size is +% img_size - BLOCK_SIZE + 1. +% +%Usage: +% +%1. Load the original and the test images into two matrices +% (say img1 and img2) +% +%2. Run this function in one of the two ways: +% +% % Choice 1 (suggested): +% [qi qi_map] = img_qi(img1, img2); +% +% % Choice 2: +% [qi qi_map] = img_qi(img1, img2, BLOCK_SIZE); +% +% The default BLOCK_SIZE is 8 (Choice 1). Otherwise, you can specify +% it by yourself (Choice 2). +% +%3. See the results: +% +% qi %Gives the over quality index. +% imshow((qi_map+1)/2) %Shows the quality map as an image. +% +%======================================================================== + +if (nargin == 1 | nargin > 3) + quality = -Inf; + quality_map = -1*ones(size(img1)); + return; +end + +if (size(img1) ~= size(img2)) + quality = -Inf; + quality_map = -1*ones(size(img1)); + return; +end + +if (nargin == 2) + block_size = 8; +end + +N = block_size.^2; +sum2_filter = ones(block_size); + +img1_sq = img1.*img1; +img2_sq = img2.*img2; +img12 = img1.*img2; + +img1_sum = filter2(sum2_filter, img1, 'valid'); +img2_sum = filter2(sum2_filter, img2, 'valid'); +img1_sq_sum = filter2(sum2_filter, img1_sq, 'valid'); +img2_sq_sum = filter2(sum2_filter, img2_sq, 'valid'); +img12_sum = filter2(sum2_filter, img12, 'valid'); + +img12_sum_mul = img1_sum.*img2_sum; +img12_sq_sum_mul = img1_sum.*img1_sum + img2_sum.*img2_sum; +numerator = 4*(N*img12_sum - img12_sum_mul).*img12_sum_mul; +denominator1 = N*(img1_sq_sum + img2_sq_sum) - img12_sq_sum_mul; +denominator = denominator1.*img12_sq_sum_mul; + +quality_map = ones(size(denominator)); +index = (denominator1 == 0) & (img12_sq_sum_mul ~= 0); +quality_map(index) = 2*img12_sum_mul(index)./img12_sq_sum_mul(index); +index = (denominator ~= 0); +quality_map(index) = numerator(index)./denominator(index); + +quality = mean2(quality_map); diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vif/vifp_release/readme.txt b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vif/vifp_release/readme.txt new file mode 100644 index 0000000..10ea789 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vif/vifp_release/readme.txt @@ -0,0 +1,56 @@ +% -----------COPYRIGHT NOTICE STARTS WITH THIS LINE------------ +% Copyright (c) 2005 The University of Texas at Austin +% All rights reserved. +% +% Permission is hereby granted, without written agreement and without license or royalty fees, to use, copy, +% modify, and distribute this code (the source files) and its documentation for +% any purpose, provided that the copyright notice in its entirety appear in all copies of this code, and the +% original source of this code, Laboratory for Image and Video Engineering (LIVE, http://live.ece.utexas.edu) +% at the University of Texas at Austin (UT Austin, +% http://www.utexas.edu), is acknowledged in any publication that reports research using this code. The research +% is to be cited in the bibliography as: +% +% H. R. Sheikh and A. C. Bovik, "Image Information and Visual Quality", IEEE Transactions on +% Image Processing, (to appear). +% +% IN NO EVENT SHALL THE UNIVERSITY OF TEXAS AT AUSTIN BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL, +% OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE USE OF THIS DATABASE AND ITS DOCUMENTATION, EVEN IF THE UNIVERSITY OF TEXAS +% AT AUSTIN HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. +% +% THE UNIVERSITY OF TEXAS AT AUSTIN SPECIFICALLY DISCLAIMS ANY WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED +% WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE DATABASE PROVIDED HEREUNDER IS ON AN "AS IS" BASIS, +% AND THE UNIVERSITY OF TEXAS AT AUSTIN HAS NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR MODIFICATIONS. +% +% -----------COPYRIGHT NOTICE ENDS WITH THIS LINE------------ + +This software release consists of a MULTISCALE PIXEL DOMAIN, SCALAR GSM implementation of the algorithm described in the paper: + +H. R. Sheikh and A. C. Bovik, "Image Information and Visual Quality"., IEEE Transactions on Image Processing, (to appear). +Download manuscript draft from http://live.ece.utexas.edu in the Publications link. + +THE PIXEL DOMAIN ALGORITHM IS NOT DESCRIBED IN THE PAPER. THIS IS A COMPUTATIONALLY SIMPLER +DERIVATIVE OF THE ALGORITHM PRESENTED IN THE PAPER + + +It consists of the following files: + +readme.txt: this file +vifP_mscale.m: main function, call this to evaluate image quality + +Input : (1) img1: The reference image as a matrix + (2) img2: The distorted image (order is important) + +Output: (1) VIF the visual information fidelity measure between the two images + +Default Usage: + Given 2 test images img1 and img2, whose dynamic range is 0-255 + + vif = vifvec(img1, img2); + +Advanced Usage: + Users may want to modify the parameters in the code. + (1) Modify sigma_nsq to find tune for your image dataset. + + +Please read the paper for more details on interpretation of the results. +Email comments and bugfixes to hamid.sheikh@ieee.org \ No newline at end of file diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vif/vifp_release/vifp_mscale.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vif/vifp_release/vifp_mscale.m new file mode 100644 index 0000000..a5bb252 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vif/vifp_release/vifp_mscale.m @@ -0,0 +1,99 @@ +function vifp=vifp_mscale(ref,dist) + +% -----------COPYRIGHT NOTICE STARTS WITH THIS LINE------------ +% Copyright (c) 2005 The University of Texas at Austin +% All rights reserved. +% +% Permission is hereby granted, without written agreement and without license or royalty fees, to use, copy, +% modify, and distribute this code (the source files) and its documentation for +% any purpose, provided that the copyright notice in its entirety appear in all copies of this code, and the +% original source of this code, Laboratory for Image and Video Engineering (LIVE, http://live.ece.utexas.edu) +% at the University of Texas at Austin (UT Austin, +% http://www.utexas.edu), is acknowledged in any publication that reports research using this code. The research +% is to be cited in the bibliography as: +% +% H. R. Sheikh and A. C. Bovik, "Image Information and Visual Quality", IEEE Transactions on +% Image Processing, (to appear). +% +% IN NO EVENT SHALL THE UNIVERSITY OF TEXAS AT AUSTIN BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL, +% OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE USE OF THIS DATABASE AND ITS DOCUMENTATION, EVEN IF THE UNIVERSITY OF TEXAS +% AT AUSTIN HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. +% +% THE UNIVERSITY OF TEXAS AT AUSTIN SPECIFICALLY DISCLAIMS ANY WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED +% WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE DATABASE PROVIDED HEREUNDER IS ON AN "AS IS" BASIS, +% AND THE UNIVERSITY OF TEXAS AT AUSTIN HAS NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR MODIFICATIONS. +% +% -----------COPYRIGHT NOTICE ENDS WITH THIS LINE------------ +% +% This software release consists of a MULTISCALE PIXEL DOMAIN, SCALAR GSM implementation of the algorithm described in the paper: +% +% H. R. Sheikh and A. C. Bovik, "Image Information and Visual Quality"., IEEE Transactions on Image Processing, (to appear). +% Download manuscript draft from http://live.ece.utexas.edu in the Publications link. +% +% THE PIXEL DOMAIN ALGORITHM IS NOT DESCRIBED IN THE PAPER. THIS IS A COMPUTATIONALLY SIMPLER +% DERIVATIVE OF THE ALGORITHM PRESENTED IN THE PAPER +% +% Input : (1) img1: The reference image as a matrix +% (2) img2: The distorted image (order is important) +% +% Output: (1) VIF the visual information fidelity measure between the two images +% +% Default Usage: +% Given 2 test images img1 and img2, whose dynamic range is 0-255 +% +% vif = vifvec(img1, img2); +% +% Advanced Usage: +% Users may want to modify the parameters in the code. +% (1) Modify sigma_nsq to find tune for your image dataset. +% Email comments and bug reports to hamid.sheikh@ieee.org + + +sigma_nsq=2; + +num=0; +den=0; +for scale=1:4 + + N=2^(4-scale+1)+1; + win=fspecial('gaussian',N,N/5); + + if (scale >1) + ref=filter2(win,ref,'valid'); + dist=filter2(win,dist,'valid'); + ref=ref(1:2:end,1:2:end); + dist=dist(1:2:end,1:2:end); + end + + mu1 = filter2(win, ref, 'valid'); + mu2 = filter2(win, dist, 'valid'); + mu1_sq = mu1.*mu1; + mu2_sq = mu2.*mu2; + mu1_mu2 = mu1.*mu2; + sigma1_sq = filter2(win, ref.*ref, 'valid') - mu1_sq; + sigma2_sq = filter2(win, dist.*dist, 'valid') - mu2_sq; + sigma12 = filter2(win, ref.*dist, 'valid') - mu1_mu2; + + sigma1_sq(sigma1_sq<0)=0; + sigma2_sq(sigma2_sq<0)=0; + + g=sigma12./(sigma1_sq+1e-10); + sv_sq=sigma2_sq-g.*sigma12; + + g(sigma1_sq<1e-10)=0; + sv_sq(sigma1_sq<1e-10)=sigma2_sq(sigma1_sq<1e-10); + sigma1_sq(sigma1_sq<1e-10)=0; + + g(sigma2_sq<1e-10)=0; + sv_sq(sigma2_sq<1e-10)=0; + + sv_sq(g<0)=sigma2_sq(g<0); + g(g<0)=0; + sv_sq(sv_sq<=1e-10)=1e-10; + + + num=num+sum(sum(log10(1+g.^2.*sigma1_sq./(sv_sq+sigma_nsq)))); + den=den+sum(sum(log10(1+sigma1_sq./sigma_nsq))); + +end +vifp=num/den; \ No newline at end of file diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vif/vifvec_release/ind2wtree.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vif/vifvec_release/ind2wtree.m new file mode 100644 index 0000000..c3a05cd --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vif/vifvec_release/ind2wtree.m @@ -0,0 +1,13 @@ +function wtree = ind2wtree(pyr, ind) + +%this function is called by vifvec.m +% converts the output of Eero Simoncelli's pyramid routines into subbands in a cell array +C=pyr; +S=ind; + +offset=0; +numsubs=size(ind,1); +for i=1:numsubs + wtree{numsubs-i+1}=reshape(C(offset+1:offset+prod(S(i,:))), S(i,1),S(i,2)); + offset=offset+prod(S(i,:)); +end diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vif/vifvec_release/readme.txt b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vif/vifvec_release/readme.txt new file mode 100644 index 0000000..50489ac --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vif/vifvec_release/readme.txt @@ -0,0 +1,60 @@ +% -----------COPYRIGHT NOTICE STARTS WITH THIS LINE------------ +% Copyright (c) 2005 The University of Texas at Austin +% All rights reserved. +% +% Permission is hereby granted, without written agreement and without license or royalty fees, to use, copy, +% modify, and distribute this code (the source files) and its documentation for +% any purpose, provided that the copyright notice in its entirety appear in all copies of this code, and the +% original source of this code, Laboratory for Image and Video Engineering (LIVE, http://live.ece.utexas.edu) +% at the University of Texas at Austin (UT Austin, +% http://www.utexas.edu), is acknowledged in any publication that reports research using this code. The research +% is to be cited in the bibliography as: +% +% H. R. Sheikh and A. C. Bovik, "Image Information and Visual Quality", IEEE Transactions on +% Image Processing, (to appear). +% +% IN NO EVENT SHALL THE UNIVERSITY OF TEXAS AT AUSTIN BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL, +% OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE USE OF THIS DATABASE AND ITS DOCUMENTATION, EVEN IF THE UNIVERSITY OF TEXAS +% AT AUSTIN HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. +% +% THE UNIVERSITY OF TEXAS AT AUSTIN SPECIFICALLY DISCLAIMS ANY WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED +% WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE DATABASE PROVIDED HEREUNDER IS ON AN "AS IS" BASIS, +% AND THE UNIVERSITY OF TEXAS AT AUSTIN HAS NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR MODIFICATIONS. +% +% -----------COPYRIGHT NOTICE ENDS WITH THIS LINE------------ + +This software release consists of an implementation of the algorithm described in the paper: + +H. R. Sheikh and A. C. Bovik, "Image Information and Visual Quality"., IEEE Transactions on Image Processing, (to appear). +Download manuscript draft from http://live.ece.utexas.edu in the Publications link. + + +It consists of the following files: + +readme.txt: this file +vifvec.m: main function, call this to evaluate image quality +support .m files: ind2wtree.m, refparams_vecgsm.m, vifsub_est_M.m + +Prerequisites: The Steerable Pyramid toolbox. Available at +http://www.cns.nyu.edu/~lcv/software.html + +Input : (1) img1: The reference image as a matrix + (2) img2: The distorted image (order is important) + +Output: (1) VIF the visual information fidelity measure between the two images + +Default Usage: + Given 2 test images img1 and img2, whose dynamic range is 0-255 + + vif = vifvec(img1, img2); + +Advanced Usage: + Users may want to modify the parameters in the code. + (1) Modify sigma_nsq to find tune for your image dataset. + (2) MxM is the block size that denotes the size of a vector used in the + GSM model. + (3) subbands included in the computation + + +Please read the paper for more details on interpretation of the results. +Email comments and bug reports to hamid.sheikh@ieee.org \ No newline at end of file diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vif/vifvec_release/refparams_vecgsm.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vif/vifvec_release/refparams_vecgsm.m new file mode 100644 index 0000000..ece25b9 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vif/vifvec_release/refparams_vecgsm.m @@ -0,0 +1,52 @@ +function [ssarr, l_arr, cu_arr]=refparams_vecgsm(org,subands,M) + +%This function computes the parameters of the reference image. This is +%called by vifvec.m. + +for i=1:length(subands); + sub=subands(i); + y=org{sub}; + + sizey=floor(size(y)./M)*M; % crop to exact multiple size + y=y(1:sizey(1),1:sizey(2)); + + + % Collect MxM blocks. Rearrange each block into an + % M^2 dimensional vector and collect all such vectors. + % Collece ALL possible MXM blocks (even those overlapping) from the subband + temp=[]; + for j=1:M + for k=1:M + temp=cat(1,temp,reshape(y(k:end-(M-k), j:end-(M-j)),1,[])); + end + end + + % estimate mean and covariance + mcu=mean(temp')'; + cu=((temp-repmat(mcu,1,size(temp,2)))*(temp-repmat(mcu,1,size(temp,2)))')./size(temp,2); % covariance matrix for U + + % Collect MxM blocks as above. Use ONLY non-overlapping blocks to + % calculate the S field + temp=[]; + for j=1:M + for k=1:M + temp=cat(1,temp,reshape(y(k:M:end, j:M:end),1,[])); + end + end + + % Calculate the S field + ss=(inv(cu)*temp); + ss=sum(ss.*temp)./(M*M); + ss=reshape(ss,sizey/M); + + % Eigen-decomposition + [v,d]=eig(cu); + l_arr(sub,:)=diag(d)'; + + % rearrange for output + ssarr{sub}=ss; + temp=0; + d=diag(d); + cu_arr{sub}=cu; +end + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vif/vifvec_release/vifsub_est_M.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vif/vifvec_release/vifsub_est_M.m new file mode 100644 index 0000000..2a05725 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vif/vifvec_release/vifsub_est_M.m @@ -0,0 +1,70 @@ +function [g_all, vv_all]=vifsub_est_M(org,dist, subbands, M); + +% uses convolution for determining the parameters of the distortion channel +% Called by vifvec.m + +tol = 1e-15; % tolernace for zero variance. Variance below this is set to zero, and zero is set to this value to avoid numerical issues. + + +for i=1:length(subbands) + sub=subbands(i); + y=org{sub}; + yn=dist{sub}; + + % compute the size of the window used in the distortion channel estimation + lev=ceil((sub-1)/6); + winsize=2^lev+1; offset=(winsize-1)/2; + win = ones(winsize); + + % force subband size to be multiple of M + newsize=floor(size(y)./M)*M; + y=y(1:newsize(1),1:newsize(2)); + yn=yn(1:newsize(1),1:newsize(2)); + + % Correlation with downsampling. This is faster than downsampling after + % computing full correlation. + winstep=[M M]; + winstart=[1 1].*floor(M/2)+1; + winstop=size(y)-ceil(M/2)+1; + + % mean + mean_x = corrDn(y,win/sum(win(:)),'reflect1',winstep, winstart,winstop); + mean_y = corrDn(yn,win/sum(win(:)),'reflect1',winstep, winstart,winstop); + % cov + cov_xy = corrDn(y.*yn, win, 'reflect1',winstep, winstart,winstop) - sum(win(:)).*mean_x.*mean_y; + % var + ss_x = corrDn(y.^2,win, 'reflect1',winstep, winstart,winstop) - sum(win(:)).*mean_x.^2; + ss_y = corrDn(yn.^2,win, 'reflect1',winstep, winstart,winstop) - sum(win(:)).*mean_y.^2; + + + % get rid of numerical problems, very small negative numbers, or very + % small positive numbers, or other theoretical impossibilities. + ss_x(ss_x<0)=0; + ss_y(ss_y<0)=0; + + % Regression + g = cov_xy./(ss_x+tol); + + % Variance of error in regression + vv = (ss_y - g.*cov_xy)/(sum(win(:))); + + % get rid of numerical problems, very small negative numbers, or very + % small positive numbers, or other theoretical impossibilities. + g (ss_x < tol) = 0; + vv (ss_x < tol) = ss_y (ss_x < tol); + ss_x(ss_x5V8H@p;lhQ;qD704#fujsOO`A_ zmM&e2EL*k=S-yNZvSP&wWaY}0$f{MVkkzYKBWu>ILDsHai>zC>4teXXw~)8rej9n` zop+FT-+dQ(@4fes_3PIo@4x>(vSGsp_B$z+==YkwF}w3dpELY&mQE%4?jfq?%j)g^wCGi#~*);?Ax~w*}s23 za^S!L&T58H;|h*Zz8vD-9m2PzKz_ua|gM5_bzhp-aVwG zqy)Kt|332I!2_hUv=k{TD?`f5%aMwT3Z$~K5_$OWAyQRUg;ZBpBQ-TONNsH`Qdd`p z)YsP|4Gj%QV`C%I)YODDH#Z|KEiFiEYb(;$)`qmVw<8@L9Y|+qC(_l`g>-j!BRxGm zNN;a1f)BzrPa*TrR@n@en?rj|c<; zL?{#@B9RCYi^YgUB0;25DI$}}5V>5AC=?1rsZ=5=l?qX-)rdx;L9|*eqSNURy13hr>uD5<#NTC=!dska#?fBoYZEnM@+7R0>I_(?}+hL9*E_lFQ|g zk&zK(baWIM8yiE$$H$S0i3wzKauS)EnnI?hr;(YN8Dw^L7J2mO5%T!)W8}$`C&<&M zPmyQOo*~blKSy4?c!9ip`4V~c>J{?(^=stIFTX^-`syp>>#x5?zWL@GEdpZw$}$PYjKfc*5QKSh4_v!5Y9|M}06Kl-CTLVod!Um(By z?h5Yqj|26VAfAcrU-~R32B7gUHe~0}2-~T=G5C8BF$Upw$ zKO+D1PydAc^FRMH@-P4LFUY_C>%SuZ_HX}&{QJNEJMtg@@gK;4{^x%p|L6bwALPIO z>%WlmC@ZV6wQq2+^h9`jZK{VeS=ZRwg~s+YccR+sTRW>uI+!X03q_Gz 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The number of decomposition levels is specified via the +% parameter NLEVELS (default = 5). + +s = 'Please compile the mex version of this function.'; +s = strcat(s, ' See the file "imdwt_cpp/compile_imdwt.m" for info.'); +error(s); diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/compile_imdwt.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/compile_imdwt.m new file mode 100644 index 0000000..5a3e3c6 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/compile_imdwt.m @@ -0,0 +1,2 @@ + +mex 'imdwt.cpp' -outdir '../' -output 'imdwt.dll' diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/compile_imdwt_modified.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/compile_imdwt_modified.m new file mode 100644 index 0000000..52089b2 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/compile_imdwt_modified.m @@ -0,0 +1,49 @@ +%%%MM%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%%MM%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%%MM%%% compile_imdwt, Modified Version +%%%MM%%% +%%%MM%%% The author of this modified version is with the Visual +%%%MM%%% Communications Laboratory, in department of Electrical and +%%%MM%%% Computer Engineering at Cornell University. The original +%%%MM%%% code was written by Damon Chandler at Cornell University. +%%%MM%%% +%%%MM%%% This build routine compiles a MEX interface for an image wavelet +%%%MM%%% transform routine. +%%%MM%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%%MM%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%%MM%%% Author: Matthew Gaubatz +%%%MM%%% Version: 1.0 +%%%MM%%% Date: 01/05/2007 +%%%MM%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%%MM%%% Copyright (c) 2007 Visual Communications Lab, Cornell University +%%%MM%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%%MM%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +%%%MM%%% +%%%MM%%% [BEGIN CHANGE] +%%%MM%%% +%%%MM%%% replace the original build script with a function that +%%%MM%%% parameterizes the name of the target build module +%%%MM%%% +function compile_imdwt_modified(target_build_module) + +%%%MM%%% +%%%MM%%% locate the MEX source file (assuming that this very file is +%%%MM%%% stored in the same folder) +%%%MM%%% +this_file_name = 'compile_imdwt_modified.m'; +this_file = which( this_file_name ); + +target_source_file = sprintf('%simdwt.cpp', this_file(1 : findstr( this_file, this_file_name ) - 1 )); +out_directory_name = this_file(1:end-length(this_file_name)-length('imdwt_cpp')-1); + +compile_command = sprintf('mex ''%s'' -outdir ''%s'' -output ''%s''', target_source_file, out_directory_name, target_build_module); +eval( compile_command ); + +%%%MM%%% +%%%MM%%% comment out previous non-parameterized version +%%%MM%%% +%%%MM%%%mex 'imdwt.cpp' -outdir '../' -output 'imdwt_modified.dll' +%%%MM%%% +%%%MM%%% [END CHANGE] +%%%MM%%% diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gbuffer.cpp b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gbuffer.cpp new file mode 100644 index 0000000..2692207 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gbuffer.cpp @@ -0,0 +1,143 @@ + +//////////////////////////////////////////////////////////////////////////// +// // +// COPYRIGHT (c) 1998, 2002, VCL // +// ------------------------------ // +// Permission to use, copy, modify, distribute and sell this software // +// and its documentation for any purpose is hereby granted without fee, // +// provided that the above copyright notice appear in all copies and // +// that both that copyright notice and this permission notice appear // +// in supporting documentation. VCL makes no representations about // +// the suitability of this software for any purpose. // +// // +// DISCLAIMER: // +// ----------- // +// The code provided hereunder is provided as is without warranty // +// of any kind, either express or implied, including but not limited // +// to the implied warranties of merchantability and fitness for a // +// particular purpose. The author(s) shall in no event be liable for // +// any damages whatsoever including direct, indirect, incidental, // +// consequential, loss of business profits or special damages. // +// // +//////////////////////////////////////////////////////////////////////////// + +//========================================================================= +#include "gbuffer.h" +// template class +//========================================================================= + +// +// Utility functions for use with Visual C++; +// other compilers can use the copy constructors. +// +namespace buf { + +GFloatBuffer byte2float(const GByteBuffer& BufferIn) +{ + GByteBuffer::data_type const* pDataIn = BufferIn.Data(); + GByteBuffer::size_type const size = BufferIn.Size(); + GFloatBuffer BufferOut(BufferIn.Width(), BufferIn.Height()); + GFloatBuffer::data_type* pDataOut = BufferOut.Data(); + + BufferOut.TagX(BufferIn.TagX()); + BufferOut.TagY(BufferIn.TagY()); + for (GByteBuffer::size_type index = 0; index < size; ++index) + { + pDataOut[index] = static_cast<float>(pDataIn[index]); + } + return BufferOut; +} +//------------------------------------------------------------------------- + +GByteBuffer float2byte(const GFloatBuffer& BufferIn) +{ + GFloatBuffer::data_type const* pDataIn = BufferIn.Data(); + GFloatBuffer::size_type const size = BufferIn.Size(); + GByteBuffer BufferOut(BufferIn.Width(), BufferIn.Height()); + GByteBuffer::data_type* pDataOut = BufferOut.Data(); + + BufferOut.TagX(BufferIn.TagX()); + BufferOut.TagY(BufferIn.TagY()); + for (GFloatBuffer::size_type index = 0; index < size; ++index) + { + pDataOut[index] = static_cast<unsigned char>( + type::round2byte(pDataIn[index]) + ); + } + return BufferOut; +} +//------------------------------------------------------------------------- + +GFloatBuffer int2float(const GIntBuffer& BufferIn) +{ + GIntBuffer::data_type const* pDataIn = BufferIn.Data(); + GIntBuffer::size_type const size = BufferIn.Size(); + GFloatBuffer BufferOut(BufferIn.Width(), BufferIn.Height()); + GFloatBuffer::data_type* pDataOut = BufferOut.Data(); + + BufferOut.TagX(BufferIn.TagX()); + BufferOut.TagY(BufferIn.TagY()); + for (GIntBuffer::size_type index = 0; index < size; ++index) + { + pDataOut[index] = static_cast<float>(pDataIn[index]); + } + return BufferOut; +} +//------------------------------------------------------------------------- + +GIntBuffer float2int(const GFloatBuffer& BufferIn) +{ + GFloatBuffer::data_type const* pDataIn = BufferIn.Data(); + GFloatBuffer::size_type const size = BufferIn.Size(); + GIntBuffer BufferOut(BufferIn.Width(), BufferIn.Height()); + GIntBuffer::data_type* pDataOut = BufferOut.Data(); + + BufferOut.TagX(BufferIn.TagX()); + BufferOut.TagY(BufferIn.TagY()); + for (GFloatBuffer::size_type index = 0; index < size; ++index) + { + pDataOut[index] = static_cast<int>(pDataIn[index]); + } + return BufferOut; +} +//------------------------------------------------------------------------- + +GIntBuffer byte2int(const GByteBuffer& BufferIn) +{ + GByteBuffer::data_type const* pDataIn = BufferIn.Data(); + GByteBuffer::size_type const size = BufferIn.Size(); + GIntBuffer BufferOut(BufferIn.Width(), BufferIn.Height()); + GIntBuffer::data_type* pDataOut = BufferOut.Data(); + + BufferOut.TagX(BufferIn.TagX()); + BufferOut.TagY(BufferIn.TagY()); + for (GByteBuffer::size_type index = 0; index < size; ++index) + { + pDataOut[index] = static_cast<int>(pDataIn[index]); + } + return BufferOut; +} +//------------------------------------------------------------------------- + +GByteBuffer int2byte(const GIntBuffer& BufferIn) +{ + GIntBuffer::data_type const* pDataIn = BufferIn.Data(); + GIntBuffer::size_type const size = BufferIn.Size(); + GByteBuffer BufferOut(BufferIn.Width(), BufferIn.Height()); + GByteBuffer::data_type* pDataOut = BufferOut.Data(); + + BufferOut.TagX(BufferIn.TagX()); + BufferOut.TagY(BufferIn.TagY()); + for (GIntBuffer::size_type index = 0; index < size; ++index) + { + pDataOut[index] = static_cast<unsigned char>( + type::int2byte(pDataIn[index]) + ); + } + return BufferOut; +} +//------------------------------------------------------------------------- + +} // namespace buf + +//========================================================================= diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gbuffer.h b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gbuffer.h new file mode 100644 index 0000000..6e66482 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gbuffer.h @@ -0,0 +1,3016 @@ + +//////////////////////////////////////////////////////////////////////////// +// // +// COPYRIGHT (c) 1998, 2002, VCL // +// ------------------------------ // +// Permission to use, copy, modify, distribute and sell this software // +// and its documentation for any purpose is hereby granted without fee, // +// provided that the above copyright notice appear in all copies and // +// that both that copyright notice and this permission notice appear // +// in supporting documentation. VCL makes no representations about // +// the suitability of this software for any purpose. // +// // +// DISCLAIMER: // +// ----------- // +// The code provided hereunder is provided as is without warranty // +// of any kind, either express or implied, including but not limited // +// to the implied warranties of merchantability and fitness for a // +// particular purpose. The author(s) shall in no event be liable for // +// any damages whatsoever including direct, indirect, incidental, // +// consequential, loss of business profits or special damages. // +// // +//////////////////////////////////////////////////////////////////////////// + +//========================================================================= +#ifndef gbufferH +#define gbufferH +//========================================================================= + +#if defined(__BORLANDC__) + #pragma warn -8027 +#endif + +#include <cstdlib> +#include <cstddef> +#include <cassert> +#include <cstdio> +#include <cmath> + +#include <algorithm> +#include <stdexcept> +#include <string> +#include <map> + +#if !defined(__GNUG__) || (__GNUG__ > 2) + #include <limits> +#endif + +#include "gtypes.h" +#include "gfile.h" + +#if defined(_MSC_VER) + #pragma warning(disable:4786) + #ifdef min + #undef min + #endif + #ifdef max + #undef max + #endif + #if (_MSC_VER <= 1200) + namespace std { + using ::size_t; + using ::exp; + using ::log; + using ::log10; + using ::fabs; + using ::pow; + using ::sqrt; + template <typename T> inline T min(T a, T b) + { return (a > b) ? b : a; } + template <typename T> inline T max(T a, T b) + { return (a > b) ? a : b; } + } + #endif +#endif +//========================================================================= + +namespace buf { + +// forward declaration +template <typename Type> class GBuffer; + +template <typename Type> +GBuffer<Type> operator *( + Type lhs, + GBuffer<Type> const& rhs + ) +{ + assert(!rhs.sleeping_); + + typename GBuffer<Type>::size_type const width = rhs.Width(); + typename GBuffer<Type>::size_type const height = rhs.Height(); + GBuffer<Type> temp(width, height); + for (typename GBuffer<Type>::size_type y = 0; y < height; ++y) + { + for (typename GBuffer<Type>::size_type x = 0; x < width; ++x) + { + temp.Pixels(x, y, lhs * rhs.Pixels(x, y)); + } + } + return temp; +} +//------------------------------------------------------------------------- + +template <typename Type> +GBuffer<Type> operator /( + Type lhs, + GBuffer<Type> const& rhs + ) +{ + assert(!rhs.sleeping_); + + typename GBuffer<Type>::size_type const width = rhs.Width(); + typename GBuffer<Type>::size_type const height = rhs.Height(); + GBuffer<Type> temp(width, height); + for (typename GBuffer<Type>::size_type y = 0; y < height; ++y) + { + for (typename GBuffer<Type>::size_type x = 0; x < width; ++x) + { + temp.Pixels(x, y, lhs / rhs.Pixels(x, y)); + } + } + return temp; +} +//------------------------------------------------------------------------- + +template <typename Type> +GBuffer<Type> operator +( + Type lhs, + GBuffer<Type> const& rhs + ) +{ + assert(!rhs.sleeping_); + + typename GBuffer<Type>::size_type const width = rhs.Width(); + typename GBuffer<Type>::size_type const height = rhs.Height(); + GBuffer<Type> temp(width, height); + for (typename GBuffer<Type>::size_type y = 0; y < height; ++y) + { + for (typename GBuffer<Type>::size_type x = 0; x < width; ++x) + { + temp.Pixels(x, y, lhs + rhs.Pixels(x, y)); + } + } + return temp; +} +//------------------------------------------------------------------------- + +template <typename Type> +GBuffer<Type> operator -( + Type lhs, + GBuffer<Type> const& rhs + ) +{ + assert(!rhs.sleeping_); + + typename GBuffer<Type>::size_type const width = rhs.Width(); + typename GBuffer<Type>::size_type const height = rhs.Height(); + GBuffer<Type> temp(width, height); + for (typename GBuffer<Type>::size_type y = 0; y < height; ++y) + { + for (typename GBuffer<Type>::size_type x = 0; x < width; ++x) + { + temp.Pixels(x, y, lhs - rhs.Pixels(x, y)); + } + } + return temp; +} +//------------------------------------------------------------------------- + +#if !defined(__GNUG__) +template <typename Type> +GBuffer<Type> operator ^( + Type lhs, + GBuffer<Type> const& rhs + ) +{ + assert(!rhs.sleeping_); + + typename GBuffer<Type>::size_type const width = rhs.Width(); + typename GBuffer<Type>::size_type const height = rhs.Height(); + GBuffer<Type> temp(width, height); + for (typename GBuffer<Type>::size_type y = 0; y < height; ++y) + { + for (typename GBuffer<Type>::size_type x = 0; x < width; ++x) + { + temp.Pixels(x, y, std::pow(lhs, rhs.Pixels(x, y))); + } + } + return temp; +} +//------------------------------------------------------------------------- +#endif + +template <typename Type> +class GBuffer +{ +public: + typedef Type data_type; + typedef type::GInt index_type; + typedef type::GSize size_type; + typedef type::GDouble real_type; + typedef std::map<Type, type::GSize> hist_type; + typedef file::GFile file_type; + typedef std::runtime_error except_type; + typedef std::out_of_range range_except_type; + enum resize_type {rt_none, rt_copy, rt_near, rt_blin, rt_bcub}; + +public: + // default constructor + GBuffer(size_type width = 0, size_type height = 0); + // constructor for raw Type data + GBuffer(Type Data, size_type width, size_type height); + // constructor for raw Type* data + GBuffer(Type const* pData, size_type width, size_type height); + // copy constructor + GBuffer(GBuffer<Type> const& copy); +#if !defined(_MSC_VER) + template <typename OtherType> + GBuffer(const GBuffer<OtherType>& copy); +#endif + // destructor + ~GBuffer(); + + // assignment operator + GBuffer<Type>& operator =(GBuffer<Type> const& rhs); + // assignment operator + GBuffer<Type>& operator =(Type rhs); + // equality operator + type::GBool operator ==(GBuffer<Type> const& rhs) const; + // inequality operator + type::GBool operator !=(GBuffer<Type> const& rhs) const; + // negation operator + GBuffer<Type> operator -() const; + + // element-by-element multiplication operator + GBuffer<Type> operator *(GBuffer<Type> const& rhs) const; + // element-by-element division operator + GBuffer<Type> operator /(GBuffer<Type> const& rhs) const; + // element-by-element addition operator + GBuffer<Type> operator +(GBuffer<Type> const& rhs) const; + // element-by-element subtraction operator + GBuffer<Type> operator -(GBuffer<Type> const& rhs) const; + + // Type multiplication operator + GBuffer<Type> operator *(Type rhs) const; + // Type division operator + GBuffer<Type> operator /(Type rhs) const; + // Type addition operator + GBuffer<Type> operator +(Type rhs) const; + // Type subtraction operator + GBuffer<Type> operator -(Type rhs) const; + // Type exponentiation operator + GBuffer<Type> operator ^(Type rhs) const; + +#if !defined(_MSC_VER) && !defined(__GNUG__) + friend GBuffer<Type> operator *<Type>(Type lhs, GBuffer<Type> const& rhs); + friend GBuffer<Type> operator /<Type>(Type lhs, GBuffer<Type> const& rhs); + friend GBuffer<Type> operator +<Type>(Type lhs, GBuffer<Type> const& rhs); + friend GBuffer<Type> operator -<Type>(Type lhs, GBuffer<Type> const& rhs); + friend GBuffer<Type> operator ^<Type>(Type lhs, GBuffer<Type> const& rhs); +#endif + + // element-by-element multiplication-assignment operator + GBuffer<Type>& operator *=(GBuffer<Type> const& rhs); + // element-by-element division-assignment operator + GBuffer<Type>& operator /=(GBuffer<Type> const& rhs); + // element-by-element addition-assignment operator + GBuffer<Type>& operator +=(GBuffer<Type> const& rhs); + // element-by-element subtraction-assignment operator + GBuffer<Type>& operator -=(GBuffer<Type> const& rhs); + + // Type multiplication-assignment operator + GBuffer<Type>& operator *=(Type rhs); + // Type division-assignment operator + GBuffer<Type>& operator /=(Type rhs); + // Type addition-assignment operator + GBuffer<Type>& operator +=(Type rhs); + // Type subtraction-assignment operator + GBuffer<Type>& operator -=(Type rhs); + // Type exponentiation-assignment operator + GBuffer<Type>& operator ^=(Type rhs); + + // element access operators (slow) + Type& operator ()(index_type pos) + { + #ifndef GBUFFER_NO_RANGE_CHECK + if (pos < 0 || static_cast<size_type>(pos) >= Size()) + { + throw range_except_type("operator()"); + } + #endif + return *(pData_ + pos); + } + Type& operator ()(index_type X, index_type Y) + { + #ifndef GBUFFER_NO_RANGE_CHECK + if (X < 0 || static_cast<size_type>(X) >= width_ || + Y < 0 || static_cast<size_type>(Y) >= height_) + { + throw range_except_type("operator()"); + } + #endif + return *(pData_ + X + (width_ * Y)); + } + Type const& operator ()(index_type pos) const + { + #ifndef GBUFFER_NO_RANGE_CHECK + if (pos < 0 || static_cast<size_type>(pos) >= Size()) + { + throw range_except_type("operator()"); + } + #endif + return *(pData_ + pos); + } + Type const& operator ()(index_type X, index_type Y) const + { + #ifndef GBUFFER_NO_RANGE_CHECK + if (X < 0 || static_cast<size_type>(X) >= width_ || + Y < 0 || static_cast<size_type>(Y) >= height_) + { + throw range_except_type("operator()"); + } + #endif + return *(pData_ + X + (width_ * Y)); + } + + // access and specification member functions + size_type Width() const + { + return width_; + } + size_type Height() const + { + return height_; + } + void Width(size_type width) + { + if (width_ != width) + { + width_ = width; + UpdateMemory(true); + } + } + void Height(size_type height) + { + if (height_ != height) + { + height_ = height; + UpdateMemory(true); + } + } + size_type Size() const + { + return (width_ * height_); + } + size_type SizeOf() const + { + return (width_ * height_ * sizeof(Type)); + } + type::GInt TagX() const + { + return tagX_; + } + void TagX(type::GInt tagX) + { + tagX_ = tagX; + } + type::GInt TagY() const + { + return tagY_; + } + void TagY(type::GInt tagY) + { + tagY_ = tagY; + } + const std::string& Name() const + { + return name_; + } + std::string& Name() + { + return name_; + } + Type const* Data() const + { + return pData_; + } + Type* Data() + { + return pData_; + } + Type Data(index_type pos) const + { + #ifndef GBUFFER_NO_RANGE_CHECK + if (static_cast<size_type>(pos) >= Size() || pos < 0) + { + type::GString s = "GBuffer::Data(): Invalid index ("; + s += type::type2str(pos); + s += ")."; + throw range_except_type(s); + } + #endif + return *(pData_ + pos); + } + void Data(index_type pos, Type value) + { + #ifndef GBUFFER_NO_RANGE_CHECK + if (static_cast<size_type>(pos) >= Size() || pos < 0) + { + type::GString s = "GBuffer::Data(): Invalid index ("; + s += type::type2str(pos); + s += ")."; + throw range_except_type(s); + } + #endif + *(pData_ + pos) = value; + } + void IncData(index_type pos, Type val) + { + *(pData_ + pos) += val; + } + void DecData(index_type pos, Type val) + { + *(pData_ + pos) -= val; + } + void MulData(index_type pos, Type val) + { + *(pData_ + pos) *= val; + } + void DivData(index_type pos, Type val) + { + *(pData_ + pos) /= val; + } + Type Pixels(index_type X, index_type Y) const + { + #ifndef GBUFFER_NO_RANGE_CHECK + if (X < 0 || static_cast<size_type>(X) >= width_ || + Y < 0 || static_cast<size_type>(Y) >= height_) + { + throw range_except_type("GBuffer::Pixels(): Invalid index"); + } + #endif + return *(pData_ + X + (width_ * Y)); + } + void Pixels(index_type X, index_type Y, Type value) + { + #ifndef GBUFFER_NO_RANGE_CHECK + if (X < 0 || static_cast<size_type>(X) >= width_ || + Y < 0 || static_cast<size_type>(Y) >= height_) + { + throw range_except_type("GBuffer::Pixels(): Invalid index"); + } + #endif + *(pData_ + X + (width_ * Y)) = value; + } + Type PixelsCE(index_type X, index_type Y) const + { + // perform inline circular extension + if (X < 0) X = X + width_; + else if (static_cast<size_type>(X) >= width_) X = X - width_; + if (Y < 0) Y = Y + height_; + else if (static_cast<size_type>(Y) >= height_) Y = Y - height_; + return *(pData_ + X + (width_ * Y)); + } + Type PixelsSE(index_type X, index_type Y) const + { + // perform inline symmetric extension + if (X < 0) X = -X; + else if (static_cast<size_type>(X) >= width_) + { + X = (width_ << 1) - X - 2; + } + if (Y < 0) Y = -Y; + else if (static_cast<size_type>(Y) >= height_) + { + Y = (height_ << 1) - Y - 2; + } + return *(pData_ + X + (width_ * Y)); + } + Type PixelsZP(index_type X, index_type Y) const + { + // perform inline symmetric extension + if (X < 0 || Y < 0 || + static_cast<size_type>(X) >= width_ || + static_cast<size_type>(Y) >= height_) + { + return 0; + } + return *(pData_ + X + (width_ * Y)); + } + Type PixelsHorzSE(index_type X, index_type Y) const + { + // perform inline symmetric extension on X + if (X < 0) X = -X; + else if (static_cast<size_type>(X) >= width_) + { + X = (width_ << 1) - X - 2; + } + return *(pData_ + X + (width_ * Y)); + } + Type PixelsVertSE(index_type X, index_type Y) const + { + // perform inline symmetric extension on Y + if (Y < 0) Y = -Y; + else if (static_cast<size_type>(Y) >= height_) + { + Y = (height_ << 1) - Y - 2; + } + return *(pData_ + X + (width_ * Y)); + } + void IncPixels(index_type X, index_type Y, Type val) + { + *(pData_ + X + (width_ * Y)) += val; + } + void DecPixels(index_type X, index_type Y, Type val) + { + *(pData_ + X + (width_ * Y)) -= val; + } + void MulPixels(index_type X, index_type Y, Type val) + { + *(pData_ + X + (width_ * Y)) *= val; + } + void DivPixels(index_type X, index_type Y, Type val) + { + *(pData_ + X + (width_ * Y)) /= val; + } + + // streaming member functions + void Load(std::string const& fname, bool swap_end = false); + void Save(std::string const& fname, bool swap_end = false) const; + void Load(file_type const& file, bool swap_end = false); + void Save(file_type const& file, bool swap_end = false) const; + + // utility member functions + void ZeroData(); + void FillData(Type value); + void Offset(Type value); + void Scale(Type value); + void Normalize(Type min_val = 0, Type max_val = 1); + void Abs(); + void Clip(data_type MinVal, data_type MaxVal); + void Threshold(data_type T, data_type val_lo = 0, + data_type val_hi = 255); + GBuffer<Type> Transpose() const; + GBuffer<Type> Convolve(GBuffer<Type> const& h); + void Resize(size_type width, size_type height, + resize_type mode = rt_none); + GBuffer<Type> Crop(size_type x, size_type y, + size_type w, size_type h) const; + GBuffer<Type> ToLuminance(real_type offset = 0, + real_type scaling = 0.02874, real_type gamma = 2.2) const; + GBuffer<Type> ToPixelVal(real_type offset = 0, + real_type scaling = 0.02874, real_type gamma = 2.2) const; + void BitBlt(size_type x_dst, size_type y_dst, + GBuffer<Type> const& src_buf, + size_type x_src = 0, size_type y_src = 0, + size_type w_src = 0, size_type h_src = 0); + + // algorithm utilities + void Sort(); + void Reverse(); + size_type Find(data_type val); + Type NearestVal(real_type val, size_type& val_index) const; + size_type Count(const Type& val) const; + void ReplaceAll(const Type& old_val, const Type& new_val) const; + + // computation methods + hist_type Histogram() const; + type::GBool IsNull() const; + Type Min() const; + Type Max() const; + Type Mode() const; + Type Range() const; + real_type Sum() const; + real_type Mean() const; + real_type Median() const; + real_type Energy() const; + real_type StdDev() const; + real_type Variance() const; + real_type Skewness() const; + real_type Kurtosis() const; + real_type Moment(type::GByte N) const; + real_type Norm(type::GUInt N) const; + real_type RMS() const; + real_type SSE(GBuffer<Type> const& other_buf) const; + real_type MSE(GBuffer<Type> const& other_buf) const; + real_type RMSE(GBuffer<Type> const& other_buf) const; + real_type PSNR(GBuffer<Type> const& other_buf) const; + real_type Correlation(GBuffer<Type> const& other_buf) const; + real_type Covariance(GBuffer<Type> const& other_buf) const; + real_type Lmean(real_type offset = 0.0, + real_type scaling = 0.02874, real_type gamma = 2.2) const; + real_type Lrms(real_type offset = 0.0, + real_type scaling = 0.02874, real_type gamma = 2.2) const; + real_type Crms(real_type Lmean, real_type offset = 0.0, + real_type scaling = 0.02874, real_type gamma = 2.2) const; + real_type Entropy() const; + + // + // quantization methods... + // + // uniform quantization + void Quantize(real_type step_size); + void QuantizeInt(real_type step_size); + void DeQuantizeInt(real_type step_size); + // dead-zone quantization + void QuantizeDZ(real_type step_size); + void QuantizeDZInt(real_type step_size); + void DeQuantizeDZInt(real_type step_size); + + // memory-saving methods + type::GBool Asleep() const + { + return sleeping_; + } + void Sleep() + { + #ifdef GBUFFER_SLEEPY + if (!sleeping_) + { + sleeping_ = true; + UpdateMemory(false); + } + #endif + } + void Awaken() + { + #ifdef GBUFFER_SLEEPY + if (sleeping_) + { + sleeping_ = false; + UpdateMemory(true); + } + #endif + } + +private: + void UpdateMemory(type::GBool zero_init) + { + delete [] pData_; + size_type const size = Size(); + if (!sleeping_ && size > 0) + { + pData_ = new Type[size]; + if (zero_init) + { + #if defined(_MSC_VER) + memset(pData_, 0, size * sizeof(Type)); + #else + std::memset(pData_, 0, size * sizeof(Type)); + #endif + } + } + else pData_ = NULL; + } + +private: + Type* pData_; + size_type width_; + size_type height_; + type::GInt tagX_; + type::GInt tagY_; + type::GBool sleeping_; + std::string name_; +}; +//========================================================================= + +//-----------------------------------------------------------------// +// Contructors and Destructor // +//-----------------------------------------------------------------// + +// default constructor +template <typename Type> +inline GBuffer<Type>::GBuffer( + size_type width, + size_type height + ) : pData_(NULL), width_(width), height_(height), + tagX_(0), tagY_(0), sleeping_(false) +{ + UpdateMemory(true); +} +//------------------------------------------------------------------------- + +// constructor for raw Type data +template <typename Type> +inline GBuffer<Type>::GBuffer( + Type Data, + size_type width, + size_type height + ) : pData_(NULL), width_(width), height_(height), + tagX_(0), tagY_(0), sleeping_(false) +{ + UpdateMemory(false); + if (pData_) + { + size_type const size = Size(); + for (size_type index = 0; index < size; ++index) + { + pData_[index] = Data; + } + } +} +//------------------------------------------------------------------------- + +// constructor for raw Type* data +template <typename Type> +inline GBuffer<Type>::GBuffer( + Type const* pData, + size_type width, + size_type height + ) : pData_(NULL), width_(width), height_(height), + tagX_(0), tagY_(0), sleeping_(false) +{ + UpdateMemory(false); + if (pData_ && pData) + { + size_type const size = Size(); + for (size_type index = 0; index < size; ++index) + { + pData_[index] = pData[index]; + } + } +} +//------------------------------------------------------------------------- + +// copy constructor +template <typename Type> +inline GBuffer<Type>::GBuffer( + GBuffer<Type> const& copy + ) : pData_(NULL), width_(copy.Width()), height_(copy.Height()), + tagX_(copy.TagX()), tagY_(copy.TagY()), sleeping_(copy.Asleep()) +{ + UpdateMemory(false); + if (pData_ && copy.Data()) + { + #if defined(_MSC_VER) + memcpy(pData_, copy.Data(), copy.SizeOf()); + #else + std::memcpy(pData_, copy.Data(), copy.SizeOf()); + #endif + } +} +//------------------------------------------------------------------------- + +#if !defined(_MSC_VER) +// copy constructor from GBuffer<OtherType> to GBuffer<Type> +template <typename Type> template <typename OtherType> +inline GBuffer<Type>::GBuffer( + const GBuffer<OtherType>& copy + ) : pData_(NULL), width_(copy.Width()), height_(copy.Height()), + tagX_(copy.TagX()), tagY_(copy.TagY()), sleeping_(copy.Asleep()) +{ + UpdateMemory(false); + const OtherType* pData = copy.Data(); + if (pData_ && pData) + { + size_type const size = Size(); + for (size_type index = 0; index < size; ++index) + { + pData_[index] = static_cast<Type>(pData[index]); + } + } +} +//------------------------------------------------------------------------- +#endif // _MSC_VER + +// destructor +template <typename Type> +inline GBuffer<Type>::~GBuffer() +{ + delete [] pData_; +} +//------------------------------------------------------------------------- + + +//-----------------------------------------------------------------// +// Operators // +//-----------------------------------------------------------------// + +template <typename Type> +inline GBuffer<Type>& GBuffer<Type>::operator =( + GBuffer<Type> const& rhs + ) +{ + if (&rhs != this) + { + sleeping_ = rhs.Asleep(); + width_ = rhs.Width(); height_ = rhs.Height(); + tagX_ = rhs.TagX(); + tagY_ = rhs.TagY(); + + UpdateMemory(false); + if (pData_ && rhs.Data()) + { + #if defined(_MSC_VER) + memcpy(pData_, rhs.Data(), rhs.SizeOf()); + #else + std::memcpy(pData_, rhs.Data(), rhs.SizeOf()); + #endif + } + } + return *this; +} +//------------------------------------------------------------------------- + +template <typename Type> +inline GBuffer<Type>& GBuffer<Type>::operator =( + Type rhs + ) +{ + assert(!sleeping_); + + size_type const size = Size(); + for (size_type index = 0; index < size; ++index) + { + pData_[index] = rhs; + } + return *this; +} +//------------------------------------------------------------------------- + +template <typename Type> +type::GBool GBuffer<Type>::operator ==( + GBuffer<Type> const& rhs + ) const +{ + assert(!sleeping_); + + if (width_ == rhs.Width() && height_ == rhs.Height()) + { + size_type const size = Size(); + Type const* pRhsData = rhs.Data(); + for (size_type index = 0; index < size; ++index) + { + if (pData_[index] != pRhsData[index]) + { + return false; + } + } + return true; + } + return false; +} +//------------------------------------------------------------------------- + +template <typename Type> +type::GBool GBuffer<Type>::operator !=( + GBuffer<Type> const& rhs + ) const +{ + assert(!sleeping_); + + if (width_ == rhs.Width() && height_ == rhs.Height()) + { + size_type const size = Size(); + Type const* pRhsData = rhs.Data(); + for (size_type index = 0; index < size; ++index) + { + if (pData_[index] != pRhsData[index]) + { + return true; + } + } + } + return false; +} +//------------------------------------------------------------------------- + +template <typename Type> +GBuffer<Type> GBuffer<Type>::operator -() const +{ + assert(!sleeping_); + + GBuffer<Type> temp(width_, height_); + Type* pData = temp.Data(); + size_type const size = Size(); + + for (size_type index = 0; index < size; ++index) + { + pData[index] = -pData_[index]; + } + return temp; +} +//------------------------------------------------------------------------- + +template <typename Type> +GBuffer<Type> GBuffer<Type>::operator *( + GBuffer<Type> const& rhs + ) const +{ + assert(!sleeping_); + + size_type const width = std::min(width_, rhs.Width()); + size_type const height = std::min(height_, rhs.Height()); + GBuffer<Type> temp(width, height); + + for (size_type y = 0; y < height; ++y) + { + for (size_type x = 0; x < width; ++x) + { + temp.Pixels(x, y, Pixels(x, y) * rhs.Pixels(x, y)); + } + } + return temp; +} +//------------------------------------------------------------------------- + +template <typename Type> +GBuffer<Type> GBuffer<Type>::operator /( + GBuffer<Type> const& rhs + ) const +{ + assert(!sleeping_); + + size_type const width = std::min(width_, rhs.Width()); + size_type const height = std::min(height_, rhs.Height()); + GBuffer<Type> temp(width, height); + + for (size_type y = 0; y < height; ++y) + { + for (size_type x = 0; x < width; ++x) + { + temp.Pixels(x, y, Pixels(x, y) / rhs.Pixels(x, y)); + } + } + return temp; +} +//------------------------------------------------------------------------- + +template <typename Type> +GBuffer<Type> GBuffer<Type>::operator +( + GBuffer<Type> const& rhs + ) const +{ + assert(!sleeping_); + + size_type const width = std::min(width_, rhs.Width()); + size_type const height = std::min(height_, rhs.Height()); + GBuffer<Type> temp(width, height); + + for (size_type y = 0; y < height; ++y) + { + for (size_type x = 0; x < width; ++x) + { + temp.Pixels(x, y, Pixels(x, y) + rhs.Pixels(x, y)); + } + } + return temp; +} +//------------------------------------------------------------------------- + +template <typename Type> +GBuffer<Type> GBuffer<Type>::operator -( + GBuffer<Type> const& rhs + ) const +{ + assert(!sleeping_); + + size_type const width = std::min(width_, rhs.Width()); + size_type const height = std::min(height_, rhs.Height()); + GBuffer<Type> temp(width, height); + + for (size_type y = 0; y < height; ++y) + { + for (size_type x = 0; x < width; ++x) + { + temp.Pixels(x, y, Pixels(x, y) - rhs.Pixels(x, y)); + } + } + return temp; +} +//------------------------------------------------------------------------- + +template <typename Type> +GBuffer<Type> GBuffer<Type>::operator *( + Type rhs + ) const +{ + assert(!sleeping_); + + GBuffer<Type> temp(width_, height_); + for (size_type y = 0; y < height_; ++y) + { + for (size_type x = 0; x < width_; ++x) + { + temp.Pixels(x, y, Pixels(x, y) * rhs); + } + } + return temp; +} +//------------------------------------------------------------------------- + +template <typename Type> +GBuffer<Type> GBuffer<Type>::operator /( + Type rhs + ) const +{ + assert(!sleeping_); + + GBuffer<Type> temp(width_, height_); + for (size_type y = 0; y < height_; ++y) + { + for (size_type x = 0; x < width_; ++x) + { + temp.Pixels(x, y, Pixels(x, y) / rhs); + } + } + return temp; +} +//------------------------------------------------------------------------- + +template <typename Type> +GBuffer<Type> GBuffer<Type>::operator +( + Type rhs + ) const +{ + assert(!sleeping_); + + GBuffer<Type> temp(width_, height_); + for (size_type y = 0; y < height_; ++y) + { + for (size_type x = 0; x < width_; ++x) + { + temp.Pixels(x, y, Pixels(x, y) + rhs); + } + } + return temp; +} +//------------------------------------------------------------------------- + +template <typename Type> +GBuffer<Type> GBuffer<Type>::operator -( + Type rhs + ) const +{ + assert(!sleeping_); + + GBuffer<Type> temp(width_, height_); + for (size_type y = 0; y < height_; ++y) + { + for (size_type x = 0; x < width_; ++x) + { + temp.Pixels(x, y, Pixels(x, y) - rhs); + } + } + return temp; +} +//------------------------------------------------------------------------- + +template <typename Type> +GBuffer<Type> GBuffer<Type>::operator ^( + Type rhs + ) const +{ + assert(!sleeping_); + + GBuffer<Type> temp(width_, height_); + for (size_type y = 0; y < height_; ++y) + { + for (size_type x = 0; x < width_; ++x) + { + temp.Pixels(x, y, std::pow(Pixels(x, y), rhs)); + } + } + return temp; +} +//------------------------------------------------------------------------- + +template <typename Type> +GBuffer<Type>& GBuffer<Type>::operator *=( + GBuffer<Type> const& rhs + ) +{ + assert(!sleeping_); + + if (&rhs != this) + { + size_type const width = std::min(width_, rhs.Width()); + size_type const height = std::min(height_, rhs.Height()); + for (size_type y = 0; y < height; ++y) + { + for (size_type x = 0; x < width; ++x) + { + MulPixels(x, y, rhs.Pixels(x, y)); + } + } + } + return *this; +} +//------------------------------------------------------------------------- + +template <typename Type> +GBuffer<Type>& GBuffer<Type>::operator /=( + GBuffer<Type> const& rhs + ) +{ + assert(!sleeping_); + + if (&rhs != this) + { + size_type const width = std::min(width_, rhs.Width()); + size_type const height = std::min(height_, rhs.Height()); + for (size_type y = 0; y < height; ++y) + { + for (size_type x = 0; x < width; ++x) + { + DivPixels(x, y, rhs.Pixels(x, y)); + } + } + } + return *this; +} +//------------------------------------------------------------------------- + +template <typename Type> +GBuffer<Type>& GBuffer<Type>::operator +=( + GBuffer<Type> const& rhs + ) +{ + assert(!sleeping_); + + if (&rhs != this) + { + size_type const width = std::min(width_, rhs.Width()); + size_type const height = std::min(height_, rhs.Height()); + for (size_type y = 0; y < height; ++y) + { + for (size_type x = 0; x < width; ++x) + { + IncPixels(x, y, rhs.Pixels(x, y)); + } + } + } + return *this; +} +//------------------------------------------------------------------------- + +template <typename Type> +GBuffer<Type>& GBuffer<Type>::operator -=( + GBuffer<Type> const& rhs + ) +{ + assert(!sleeping_); + + if (&rhs != this) + { + size_type const width = std::min(width_, rhs.Width()); + size_type const height = std::min(height_, rhs.Height()); + for (size_type y = 0; y < height; ++y) + { + for (size_type x = 0; x < width; ++x) + { + DecPixels(x, y, rhs.Pixels(x, y)); + } + } + } + return *this; +} +//------------------------------------------------------------------------- + +template <typename Type> +GBuffer<Type>& GBuffer<Type>::operator *=( + Type rhs + ) +{ + assert(!sleeping_); + + size_type const size = Size(); + for (size_type index = 0; index < size; ++index) + { + pData_[index] *= rhs; + } + return *this; +} +//------------------------------------------------------------------------- + +template <typename Type> +GBuffer<Type>& GBuffer<Type>::operator /=( + Type rhs + ) +{ + assert(!sleeping_); + + size_type const size = Size(); + for (size_type index = 0; index < size; ++index) + { + pData_[index] /= rhs; + } + return *this; +} +//------------------------------------------------------------------------- + +template <typename Type> +GBuffer<Type>& GBuffer<Type>::operator +=( + Type rhs + ) +{ + assert(!sleeping_); + + size_type const size = Size(); + for (size_type index = 0; index < size; ++index) + { + pData_[index] += rhs; + } + return *this; +} +//------------------------------------------------------------------------- + +template <typename Type> +GBuffer<Type>& GBuffer<Type>::operator -=( + Type rhs + ) +{ + assert(!sleeping_); + + size_type const size = Size(); + for (size_type index = 0; index < size; ++index) + { + pData_[index] -= rhs; + } + return *this; +} +//------------------------------------------------------------------------- + +template <typename Type> +GBuffer<Type>& GBuffer<Type>::operator ^=( + Type rhs + ) +{ + assert(!sleeping_); + + size_type const size = Size(); + for (size_type index = 0; index < size; ++index) + { + pData_[index] = std::pow(pData_[index], rhs); + } + return *this; +} +//------------------------------------------------------------------------- + + + +//-----------------------------------------------------------------// +// Streaming // +//-----------------------------------------------------------------// + +template <typename Type> +void GBuffer<Type>::Load( + const std::string& filename, + bool swap_end + ) +{ + assert(!sleeping_); + + file_type const file(filename.c_str(), "rb"); + Load(file, swap_end); +} +//------------------------------------------------------------------------- + +template <typename Type> +void GBuffer<Type>::Load( + file_type const& file, + bool swap_end + ) +{ + assert(!sleeping_); + + // read the width and height from the file +#if (__GNUG__ < 4) + width_ = file.template Read<size_type>(swap_end); + height_ = file.template Read<size_type>(swap_end); +#else + width_ = file.Read<size_type>(swap_end); + height_ = file.Read<size_type>(swap_end); +#endif + // allocate enough memory to hold the data + UpdateMemory(false); + + // read the data from the file +#if (__GNUG__ < 4) + file.template Read<Type>(pData_, Size(), swap_end); +#else + file.Read<Type>(pData_, Size(), swap_end); +#endif +} +//------------------------------------------------------------------------- + +template <typename Type> +void GBuffer<Type>::Save( + const std::string& filename, + bool swap_end + ) const +{ + assert(!sleeping_); + + // open the file for write access + file_type const file(filename.c_str(), "wb"); + Save(file, swap_end); +} +//------------------------------------------------------------------------- + +template <typename Type> +void GBuffer<Type>::Save( + file_type const& file, + bool swap_end + ) const +{ + assert(!sleeping_); + + // write the width and height to the stream + file.Write(width_, swap_end); + file.Write(height_, swap_end); + + // write the data to the file + file.Write(pData_, Size(), swap_end); +} +//------------------------------------------------------------------------- + + +//-----------------------------------------------------------------// +// Utility Methods // +//-----------------------------------------------------------------// + +template <typename Type> +inline void GBuffer<Type>::ZeroData() +{ + assert(!sleeping_); + +#if defined(_MSC_VER) + memset(pData_, 0, SizeOf()); +#else + std::memset(pData_, 0, SizeOf()); +#endif +} +//------------------------------------------------------------------------- + +template <typename Type> +void GBuffer<Type>::FillData( + Type value + ) +{ + assert(!sleeping_); + + size_type const size = Size(); + for (size_type index = 0; index < size; ++index) + { + pData_[index] = value; + } +} +//------------------------------------------------------------------------- + +template <typename Type> +void GBuffer<Type>::Offset( + Type value + ) +{ + assert(!sleeping_); + + size_type const size = Size(); + for (size_type index = 0; index < size; ++index) + { + pData_[index] += value; + } +} +//------------------------------------------------------------------------- + +template <typename Type> +void GBuffer<Type>::Scale( + Type value + ) +{ + assert(!sleeping_); + + size_type const size = Size(); + for (size_type index = 0; index < size; ++index) + { + pData_[index] *= value; + } +} +//------------------------------------------------------------------------- + +template <typename Type> +void GBuffer<Type>::Normalize( + Type min_val, + Type max_val + ) +{ + min_val = std::abs(Min()) + min_val; + Offset(min_val); + + Type const current_max_val = std::abs(Max()); + if (current_max_val > 1E-7) + { + Scale(max_val / current_max_val); + } +} +//------------------------------------------------------------------------- + +template <typename Type> +void GBuffer<Type>::Abs() +{ + assert(!sleeping_); + + size_type const size = Size(); + for (size_type index = 0; index < size; ++index) + { + pData_[index] = std::abs(pData_[index]); + } +} +//------------------------------------------------------------------------- + +template <typename Type> +GBuffer<Type> GBuffer<Type>::Transpose() const +{ + assert(!sleeping_); + + size_type const cy = Height(); + size_type const cx = Width(); + GBuffer<Type> bufT(cy, cx); + + for (size_type y = 0; y < cy; ++y) + { + for (size_type x = 0; x < cx; ++x) + { + bufT.Pixels(y, x, Pixels(x, y)); + } + } + return bufT; +} +//------------------------------------------------------------------------- + +template <typename Type> +GBuffer<Type> GBuffer<Type>::Convolve( + GBuffer<Type> const& h + ) +{ +/* + assert(!sleeping_); + + size_type const cy = Height(); + size_type const cx = Width(); + GBuffer<Type> buf_out(cy, cx); + GBuffer<Type> buf_out2(cy, cx); + + Type val; + size_type const cy_h = h.Height(); + size_type const cx_h = h.Width(); + + // if the filter is 1D, do separable filtering + if (cy_h == 1) + { + int offset; + int const num_taps = cx_h; + if (num_taps % 2 != 0) // odd-length filter + { + offset = -num_taps / 2; + } + else + { + offset = -std::ceil(num_taps / 2.0f); + } + + // filter the columns + for (int y = 0; y < cy; ++y) + { + for (int x = 0; x < cx; ++x) + { + val = 0; + for (int tap_idx = 0; tap_idx < cx_h; ++tap_idx) + { + val += + PixelsSE(x, y + offset + tap_idx) * + h.Pixels(tap_idx, 0); + } + buf_out.Pixels(x, y, val); + } + } + // filter the rows + for (int y = 0; y < cy; ++y) + { + for (int x = 0; x < cx; ++x) + { + val = 0; + for (int tap_idx = 0; tap_idx < cx_h; ++tap_idx) + { + val += + buf_out.PixelsSE(x + offset + tap_idx, y) * + h.Pixels(tap_idx, 0); + } + buf_out.Pixels(x, y, val); + } + } + } + else + { + throw except_type("2D filtering not implemented."); + } + return buf_out; +*/ + + assert(!sleeping_); + + int const cy = Height(); + int const cx = Width(); + GBuffer<Type> buf_out(cy, cx); + + Type val; + int const cy_h = h.Height(); + int const cx_h = h.Width(); + + // if the filter is 1D, do separable filtering + if (cy_h == 1) + { + int offset; + int const num_taps = cx_h; + if (num_taps % 2 != 0) // odd-length filter + { + offset = -num_taps / 2; + } + else + { + offset = -std::floor(num_taps / 2.0f); + } + + // filter the rows + for (int y = 0; y < cy; ++y) + { + for (int x = 0; x < cx; ++x) + { + val = 0; + for (int tap_idx = 0; tap_idx < cx_h; ++tap_idx) + { + val += +// PixelsSE(x + offset + tap_idx, y) * + PixelsZP(x + offset + tap_idx, y) * + h.Pixels(tap_idx, 0); + } + buf_out.Pixels(x, y, val); + } + } + // filter the columns + GBuffer<Type> buf_out2(cy, cx); + for (int x = 0; x < cx; ++x) + { + for (int y = 0; y < cy; ++y) + { + val = 0; + for (int tap_idx = 0; tap_idx < cx_h; ++tap_idx) + { + val += +// buf_out.PixelsSE(x, y + offset + tap_idx) * + buf_out.PixelsZP(x, y + offset + tap_idx) * + h.Pixels(tap_idx, 0); + } + buf_out2.Pixels(x, y, val); + } + } + return buf_out2; + } + else + { + int x_offset, y_offset; + if (cx_h % 2 != 0) // odd-length filter + { + x_offset = -cx_h / 2; + } + else + { + x_offset = -std::floor(cx_h / 2.0f); + } + if (cy_h % 2 != 0) // odd-length filter + { + y_offset = -cy_h / 2; + } + else + { + y_offset = -std::floor(cy_h / 2.0f); + } + + for (int x = 0; x < cx; ++x) + { + for (int y = 0; y < cy; ++y) + { + val = 0; + for (int y_h = 0; y_h < cy_h; ++y_h) + { + for (int x_h = 0; x_h < cx_h; ++x_h) + { + val += + h.Pixels(x_h, y_h) * +// PixelsSE(x + x_h + x_offset, y + y_h + y_offset); + PixelsZP(x + x_h + x_offset, y + y_h + y_offset); + } + } + buf_out.Pixels(x, y, val); + } + } + return buf_out; + } +} +//------------------------------------------------------------------------- + +inline float get_bicubic_weight(float x) +{ + float v1 = x + 2.0f; + float v2 = x + 1.0f; + float v3 = x; + float v4 = x - 1.0f; + + v1 = (v1 > 0.0f) ? v1*v1*v1 : 0.0f; + v2 = (v2 > 0.0f) ? 4.0f*v2*v2*v2 : 0.0f; + v3 = (v3 > 0.0f) ? 6.0f*v3*v3*v3 : 0.0f; + v4 = (v4 > 0.0f) ? 4.0f*v4*v4*v4 : 0.0f; + + return (v1 - v2 + v3 - v4); +} + +template <typename Type> +void GBuffer<Type>::Resize( + size_type width, + size_type height, + resize_type mode + ) +{ + if (width == width_ && height == height_) + { + // no-op, if the dimensions are unchanged + return; + } + + switch (mode) + { + case rt_none: // resize & discard current data + { + // update the dimensions + width_ = width; height_ = height; + + // update the memory + UpdateMemory(false); + break; + } + case rt_copy: // resize & keep current data (but don't interpolate) + { + // make a copy of the current data + GBuffer<Type> SaveBuffer(*this); + + // update the dimensions + width_ = width; height_ = height; + + // update the memory + UpdateMemory(false); + + // restore the data + if (pData_) + { + size_type const sizeX = std::min(width, SaveBuffer.Width()); + size_type const sizeY = std::min(height, SaveBuffer.Height()); + for (size_type y = 0; y < sizeY; ++y) + { + for (size_type x = 0; x < sizeX; ++x) + { + Pixels(x, y, SaveBuffer.Pixels(x, y)); + } + } + } + break; + } + case rt_near: // nearest-neighbor interpolation + { + int const src_cx = width_; + int const src_cy = height_; + int const dst_cx = width; + int const dst_cy = height; + + float const ratio_cx = + static_cast<float>(src_cx) / static_cast<float>(dst_cx); + float const ratio_cy = + static_cast<float>(src_cy) / static_cast<float>(dst_cy); + + float x_src_f, y_src_f; + int x_src, y_src; + + GBuffer<Type> dst_buf(dst_cx, dst_cy); + Type* p_dst_row = dst_buf.Data(); + + for (int y_dst = 0; y_dst < dst_cy; ++y_dst) + { + y_src_f = y_dst * ratio_cy; + y_src = y_src_f; + + for (int x_dst = 0; x_dst < dst_cx; ++x_dst) + { + x_src_f = x_dst * ratio_cx; + x_src = x_src_f; + + p_dst_row[x_dst] = PixelsSE(x_src, y_src); + } + // move to the next row + p_dst_row += dst_cy; + } + *this = dst_buf; + break; + } + case rt_blin: // bilinear interpolation + { + int const src_cx = width_; + int const src_cy = height_; + int const dst_cx = width; + int const dst_cy = height; + + float const ratio_cx = + static_cast<float>(src_cx) / static_cast<float>(dst_cx); + float const ratio_cy = + static_cast<float>(src_cy) / static_cast<float>(dst_cy); + + float x_src_f, y_src_f; + int x_src, y_src; + + GBuffer<Type> dst_buf(dst_cx, dst_cy); + Type* p_dst_row = dst_buf.Data(); + + float val; + for (int y_dst = 0; y_dst < dst_cy; ++y_dst) + { + y_src_f = y_dst * ratio_cy; + y_src = y_src_f; + + for (int x_dst = 0; x_dst < dst_cx; ++x_dst) + { + x_src_f = x_dst * ratio_cx; + x_src = x_src_f; + + val = PixelsSE(x_src , y_src - 1) * 0.125f; + val += PixelsSE(x_src - 1, y_src ) * 0.125f; + val += PixelsSE(x_src , y_src ) * 0.5f; + val += PixelsSE(x_src + 1, y_src ) * 0.125f; + val += PixelsSE(x_src , y_src + 1) * 0.125f; + + p_dst_row[x_dst] = val; + } + // move to the next row + p_dst_row += dst_cy; + } + *this = dst_buf; + break; + } + case rt_bcub: // bicubic interpolation + { + int const src_cx = width_; + int const src_cy = height_; + int const dst_cx = width; + int const dst_cy = height; + + float const ratio_cx = + static_cast<float>(src_cx) / static_cast<float>(dst_cx); + float const ratio_cy = + static_cast<float>(src_cy) / static_cast<float>(dst_cy); + + float dx, dy; + float x_src_f, y_src_f; + int x_src, y_src; + + float weight; + float weight_x0, weight_x1, weight_x2, weight_x3; + float weight_y0, weight_y1, weight_y2, weight_y3; + + GBuffer<Type> dst_buf(dst_cx, dst_cy); + Type* p_dst_row = dst_buf.Data(); + + float val; + for (int y_dst = 0; y_dst < dst_cy; ++y_dst) + { + y_src_f = y_dst * ratio_cy; + y_src = y_src_f; + dy = y_src_f - y_src; + + weight_y0 = get_bicubic_weight(dy + 1) / 36.0f; + weight_y1 = get_bicubic_weight(dy) / 36.0f; + weight_y2 = get_bicubic_weight(dy - 1) / 36.0f; + weight_y3 = get_bicubic_weight(dy - 2) / 36.0f; + + for (int x_dst = 0; x_dst < dst_cx; ++x_dst) + { + x_src_f = x_dst * ratio_cx; + x_src = x_src_f; + dx = x_src_f - x_src; + + weight_x0 = get_bicubic_weight(-1 - dx); + weight_x1 = get_bicubic_weight(-dx); + weight_x2 = get_bicubic_weight(1 - dx); + weight_x3 = get_bicubic_weight(2 - dx); + + val = 0.0f; + weight = weight_x0 * weight_y0; + val += PixelsSE(x_src - 1, y_src - 1) * weight; + weight = weight_x1 * weight_y0; + val += PixelsSE(x_src , y_src - 1) * weight; + weight = weight_x2 * weight_y0; + val += PixelsSE(x_src + 1, y_src - 1) * weight; + weight = weight_x3 * weight_y0; + val += PixelsSE(x_src + 2, y_src - 1) * weight; + + weight = weight_x0 * weight_y1; + val += PixelsSE(x_src - 1, y_src ) * weight; + weight = weight_x1 * weight_y1; + val += PixelsSE(x_src , y_src ) * weight; + weight = weight_x2 * weight_y1; + val += PixelsSE(x_src + 1, y_src ) * weight; + weight = weight_x3 * weight_y1; + val += PixelsSE(x_src + 2, y_src ) * weight; + + weight = weight_x0 * weight_y2; + val += PixelsSE(x_src - 1, y_src + 1) * weight; + weight = weight_x1 * weight_y2; + val += PixelsSE(x_src , y_src + 1) * weight; + weight = weight_x2 * weight_y2; + val += PixelsSE(x_src + 1, y_src + 1) * weight; + weight = weight_x3 * weight_y2; + val += PixelsSE(x_src + 2, y_src + 1) * weight; + + weight = weight_x0 * weight_y3; + val += PixelsSE(x_src - 1, y_src + 2) * weight; + weight = weight_x1 * weight_y3; + val += PixelsSE(x_src , y_src + 2) * weight; + weight = weight_x2 * weight_y3; + val += PixelsSE(x_src + 1, y_src + 2) * weight; + weight = weight_x3 * weight_y3; + val += PixelsSE(x_src + 2, y_src + 2) * weight; + + p_dst_row[x_dst] = val; + } + // move to the next row + p_dst_row += dst_cy; + } + *this = dst_buf; + break; + } + } +} +//------------------------------------------------------------------------- + +template <typename Type> +void GBuffer<Type>::Clip( + data_type MinVal, + data_type MaxVal + ) +{ + assert(!sleeping_); + + size_type const size = Size(); + for (size_type index = 0; index < size; ++index) + { + if (pData_[index] > MaxVal) + { + pData_[index] = MaxVal; + } + else if (pData_[index] < MinVal) + { + pData_[index] = MinVal; + } + } +} +//------------------------------------------------------------------------- + +template <typename Type> +void GBuffer<Type>::Threshold( + data_type T, + data_type val_lo, + data_type val_hi + ) +{ + assert(!sleeping_); + + size_type const size = Size(); + for (size_type index = 0; index < size; ++index) + { + pData_[index] = (pData_[index] >= T) ? val_hi : val_lo; + } +} +//------------------------------------------------------------------------- + +template <typename Type> +GBuffer<Type> GBuffer<Type>::Crop( + size_type x, + size_type y, + size_type w, + size_type h + ) const +{ + assert(x + w <= width_); + assert(y + h <= height_); + + GBuffer<Type> chunk(w, h); + size_type const maxX = x + w; + size_type const maxY = y + h; + + for (size_type Y = y; Y < maxY; ++Y) + { + for (size_type X = x; X < maxX; ++X) + { + chunk.Pixels(X - x, Y - y, Pixels(X, Y)); + } + } + return chunk; +} +//------------------------------------------------------------------------- + +// +// returns a luminance version of the image +// +template <typename Type> +GBuffer<Type> GBuffer<Type>::ToLuminance( + real_type offset, // black level offset + real_type scaling, // pixel-value to voltage scaling factor + real_type gamma // exponent of the power function + ) const +{ + assert(!sleeping_); + + size_type const size = Size(); + GBuffer<Type> LuminanceBuffer(width_, height_); + Type* pData = LuminanceBuffer.Data(); + for (size_type index = 0; index < size; ++index) + { + pData[index] = std::pow(offset + scaling*pData_[index], gamma); + } + return LuminanceBuffer; +} +//------------------------------------------------------------------------- + +// +// returns a pixel-value version of the image +// +template <typename Type> +GBuffer<Type> GBuffer<Type>::ToPixelVal( + real_type offset, // black level offset + real_type scaling, // pixel-value to voltage scaling factor + real_type gamma // exponent of the power function + ) const +{ + assert(!sleeping_); + assert(gamma != 0); + assert(scaling != 0); + + const real_type inv_gamma = 1.0 / gamma; + const real_type inv_scaling = 1.0 / scaling; + + size_type const size = Size(); + GBuffer<Type> PixelValBuffer(*this); + Type* pData = PixelValBuffer.Data(); + for (size_type index = 0; index < size; ++index) + { + pData[index] = (pData[index] <= 0) ? 0 : inv_scaling * ( + std::pow(static_cast<real_type>(pData[index]), inv_gamma) - + offset + ); + } + return PixelValBuffer; +} +//------------------------------------------------------------------------- + +template <typename Type> +void GBuffer<Type>::BitBlt( + size_type x_dst, + size_type y_dst, + GBuffer<Type> const& src_buf, + size_type x_src, + size_type y_src, + size_type w_src, + size_type h_src + ) +{ + if (&src_buf == this) + { + // no op required; source and target are the same + return; + } + + assert(!sleeping_); + + size_type x_src_max, y_src_max; + if (w_src == 0 && h_src == 0) + { + x_src_max = src_buf.Width(); + y_src_max = src_buf.Height(); + } + else + { + x_src_max = x_src + w_src; + y_src_max = y_src + h_src; + } + + size_type x_dst_copy; + for (size_type y = y_src; y < y_src_max; ++y) + { + x_dst_copy = x_dst; + for (size_type x = x_src; x < x_src_max; ++x) + { + Pixels(x_dst_copy++, y_dst, src_buf.Pixels(x, y)); + } + ++y_dst; + } +} +//------------------------------------------------------------------------- + + +//-----------------------------------------------------------------// +// Computation Methods // +//-----------------------------------------------------------------// + +template <typename Type> +void GBuffer<Type>::Sort() +{ + assert(!sleeping_); + std::sort(pData_, pData_ + Size()); +} +//------------------------------------------------------------------------- + +template <typename Type> +void GBuffer<Type>::Reverse() +{ + assert(!sleeping_); + std::reverse(pData_, pData_ + Size()); +} +//------------------------------------------------------------------------- + +template <typename Type> +typename GBuffer<Type>::size_type GBuffer<Type>::Find(data_type val) +{ + assert(!sleeping_); + + size_type const size = Size(); + data_type const* pVal = std::find(pData_, pData_ + size, val); + return (pVal - pData_); +} +//------------------------------------------------------------------------- + +template <typename Type> +Type GBuffer<Type>::NearestVal( + real_type val, + size_type& val_index + ) const +{ + assert(!sleeping_); + + Type closest_val = 0; + size_type const size = Size(); + real_type min_dist = std::numeric_limits<real_type>::max(); + for (size_type index = 0; index < size; ++index) + { + const real_type dist = std::fabs(pData_[index] - val); + if (dist <= min_dist) + { + min_dist = dist; + closest_val = pData_[index]; + val_index = index; + } + } + return closest_val; +} +//------------------------------------------------------------------------- + +template <typename Type> +typename GBuffer<Type>::size_type GBuffer<Type>::Count( + const Type& val + ) const +{ + assert(!sleeping_); + return std::count(pData_, pData_ + Size(), val); +} +//------------------------------------------------------------------------- + +template <typename Type> +void GBuffer<Type>::ReplaceAll( + const Type& old_val, + const Type& new_val + ) const +{ + assert(!sleeping_); + return std::replace(pData_, pData_ + Size(), old_val, new_val); +} +//------------------------------------------------------------------------- + +template <typename Type> +typename GBuffer<Type>::hist_type GBuffer<Type>::Histogram() const +{ + assert(!sleeping_); + + hist_type hist; + size_type const size = Size(); + for (size_type index = 0; index < size; ++index) + { + ++hist[pData_[index]]; + } + return hist; +} +//------------------------------------------------------------------------- + +template <typename Type> +type::GBool GBuffer<Type>::IsNull() const +{ + assert(!sleeping_); + + size_type const size = Size(); + for (size_type index = 0; index < size; ++index) + { + if (pData_[index] != 0) + { + return false; + } + } + return true; +} +//------------------------------------------------------------------------- + +template <typename Type> +Type GBuffer<Type>::Min() const +{ + assert(!sleeping_); + +//#if !defined(__GNUG__) || (__GNUG__ > 2) + Type min_val = std::numeric_limits<Type>::max(); + size_type const size = Size(); + for (size_type index = 0; index < size; ++index) + { + if (pData_[index] < min_val) + { + min_val = pData_[index]; + } + } + return min_val; +//#else + // punt on older versions of g++ that + // don't support the numeric_limits class + //return 0; +//#endif +} +//------------------------------------------------------------------------- + +template <typename Type> +Type GBuffer<Type>::Max() const +{ + assert(!sleeping_); + +//#if !defined(__GNUG__) || (__GNUG__ > 2) + +#if defined(__BORLANDC__) + #pragma warn -8008 + #pragma warn -8041 + #pragma warn -8066 +#endif + + Type max_val; + if (std::numeric_limits<Type>::is_integer) + { + max_val = std::numeric_limits<Type>::min(); + } + else + { + max_val = -std::numeric_limits<Type>::max(); + } + +#if defined(__BORLANDC__) + #pragma warn .8008 + #pragma warn .8041 + #pragma warn .8066 +#endif + + size_type const size = Size(); + for (size_type index = 0; index < size; ++index) + { + if (pData_[index] > max_val) + { + max_val = pData_[index]; + } + } + return max_val; + +//#else + // punt on older versions of g++ that + // don't support the numeric_limits class +// return 0; +//#endif +} +//------------------------------------------------------------------------- + +template <typename Type> +Type GBuffer<Type>::Range() const +{ + assert(!sleeping_); + + return (Max() - Min()); +} +//------------------------------------------------------------------------- + +template <typename Type> +typename GBuffer<Type>::real_type GBuffer<Type>::Sum() const +{ + assert(!sleeping_); + + real_type sum_of_x = 0; + size_type const size = Size(); + for (size_type index = 0; index < size; ++index) + { + sum_of_x += pData_[index]; + } + return sum_of_x; +} +//------------------------------------------------------------------------- + +// +// Mean = E{X} = (1/size)*sum(X) +// +template <typename Type> +typename GBuffer<Type>::real_type GBuffer<Type>::Mean() const +{ + assert(!sleeping_); + + return (Sum() / Size()); +} +//------------------------------------------------------------------------- + +// +// Median = middle( sort(X) ) +// +template <typename Type> +typename GBuffer<Type>::real_type GBuffer<Type>::Median() const +{ + assert(!sleeping_); + + GBuffer<Type> temp(*this); + temp.Sort(); + + size_type const size = Size(); + if (size % 2 != 0) + { + return temp.Data(static_cast<index_type>(0.5 * size)); + } + else + { + return 0.5 * ( + temp.Data(static_cast<index_type>(0.5 * size - 0.5)) + + temp.Data(static_cast<index_type>(0.5 * size + 0.5)) + ); + } +} +//------------------------------------------------------------------------- + +// +// Mode = most frequenlty occurring value +// +template <typename Type> +Type GBuffer<Type>::Mode() const +{ + assert(!sleeping_); + + typename hist_type::key_type max_hist_bin = 0; + typename hist_type::mapped_type max_hist_val = 0; + + hist_type hist(Histogram()); + typename hist_type::iterator hist_end = hist.end(); + for (typename hist_type::iterator iter = hist.begin(); + iter != hist_end; ++iter) + { + if ((*iter).second >= max_hist_val) + { + max_hist_bin = (*iter).first; + max_hist_val = (*iter).second; + } + } + return max_hist_bin; +} +//------------------------------------------------------------------------- + +// +// Energy = E{X^2} = (1/size)*sum(X) +// NOTE: Energy(X) equals Variance(X) if Mean(X) is 0 +// +template <typename Type> +typename GBuffer<Type>::real_type GBuffer<Type>::Energy() const +{ + assert(!sleeping_); + + real_type sum_of_xSquared = 0.0; + size_type const size = Size(); + for (size_type index = 0; index < size; ++index) + { + sum_of_xSquared += (pData_[index] * pData_[index]); + } + return (sum_of_xSquared / size); +} +//------------------------------------------------------------------------- + +// +// StdDev = sqrt(E{X^2} - (E{X})^2) = sqrt(Variance(X)) +// NOTE: StdDev(X) equals RMS(X) if Mean(X) is 0 +// +template <typename Type> +typename GBuffer<Type>::real_type GBuffer<Type>::StdDev() const +{ + assert(!sleeping_); + + return std::sqrt(Variance()); +} +//------------------------------------------------------------------------- + +// +// Variance = E{X^2} - (E{X})^2 = (1/size)*sum((X - Mean(X))^2) +// NOTE: Variance(X) equals Energy(X) if Mean(X) is 0 +// +template <typename Type> +typename GBuffer<Type>::real_type GBuffer<Type>::Variance() const +{ + assert(!sleeping_); + + real_type const avg_of_x = Mean(); + real_type sum_of_xSquared = 0.0; + size_type const size = Size(); + + for (size_type index = 0; index < size; ++index) + { + real_type const x0 = pData_[index] - avg_of_x; + sum_of_xSquared += (x0 * x0); + } + return (sum_of_xSquared / size); +} +//------------------------------------------------------------------------- + +// +// Skewness = E{(X - E{X})^3} = (1/size)*sum((X - Mean(X))^3) +// +template <typename Type> +typename GBuffer<Type>::real_type GBuffer<Type>::Skewness() const +{ + assert(!sleeping_); + + const Type avg_of_x = Mean(); + real_type sum_of_xCubed = 0.0; + size_type const size = Size(); + + for (size_type index = 0; index < size; ++index) + { + const real_type x0 = pData_[index] - avg_of_x; + sum_of_xCubed += (x0 * x0 * x0); + } + + const real_type std_dev = StdDev(); + sum_of_xCubed /= (std_dev * std_dev * std_dev); + + return (sum_of_xCubed / size); +} +//------------------------------------------------------------------------- + +// +// Kurtosis = E{(X - E{X})^4} = (1/size)*sum((X - Mean(X))^4) +// +template <typename Type> +typename GBuffer<Type>::real_type GBuffer<Type>::Kurtosis() const +{ + assert(!sleeping_); + + const real_type avg_of_x = Mean(); + real_type sum_of_xFourth = 0.0; + size_type const size = Size(); + + for (size_type index = 0; index < size; ++index) + { + const real_type x0 = pData_[index] - avg_of_x; + sum_of_xFourth += (x0 * x0 * x0 * x0); + } + + const real_type std_dev = StdDev(); + sum_of_xFourth /= (std_dev * std_dev * std_dev * std_dev); + + return (sum_of_xFourth / size); +} +//------------------------------------------------------------------------- + +// +// Central moment = E{(X - E{X})^N} = (1/size)*sum((X - Mean(X))^N) +// +template <typename Type> +typename GBuffer<Type>::real_type GBuffer<Type>::Moment( + type::GByte N + ) const +{ + assert(!sleeping_); + + const real_type avg_of_x = Mean(); + real_type sum_of_xN = 0.0; + size_type const size = Size(); + + for (size_type index = 0; index < size; ++index) + { + const real_type x0 = pData_[index] - avg_of_x; + sum_of_xN += std::pow(x0, N); + } + sum_of_xN /= std::pow(StdDev(), N); + + return (sum_of_xN / size); +} +//------------------------------------------------------------------------- + +// +// LN Norm = N-th root of the sum of the values to the N +// +template <typename Type> +typename GBuffer<Type>::real_type GBuffer<Type>::Norm( + type::GUInt N + ) const +{ + assert(!sleeping_); + + real_type sum = 0.0; + size_type const size = Size(); + switch (N) + { + case 0: return 0.0; + case 1: return Sum(); + case 2: + { + for (size_type index = 0; index < size; ++index) + { + sum += (pData_[index]*pData_[index]); + } + return std::sqrt(sum); + } + case 3: + { + for (size_type index = 0; index < size; ++index) + { + sum += (pData_[index]*pData_[index]*pData_[index]); + } + break; + } + case 4: + { + for (size_type index = 0; index < size; ++index) + { + sum += ( + pData_[index]*pData_[index]*pData_[index]*pData_[index] + ); + } + break; + } + default: + { + real_type val; + for (size_type index = 0; index < size; ++index) + { + val = 1.0; + for (size_type n = 0; n < N; ++n) + { + val *= pData_[index]; + } + sum += val; + } + break; + } + } + return std::pow(sum, 1.0/static_cast<real_type>(N)); +} +//------------------------------------------------------------------------- + +// +// (root-mean-square) RMS = sqrt(E{X^2}) = sqrt(Energy(X)) +// NOTE: RMS(X) equals StdDev(X) if Mean(X) is 0 +// +template <typename Type> +typename GBuffer<Type>::real_type GBuffer<Type>::RMS() const +{ + assert(!sleeping_); + + return std::sqrt(Energy()); +} +//------------------------------------------------------------------------- + +// +// (sum-squared-error) SSE = Sum{(X1 - X2)^2} +// +template <typename Type> +typename GBuffer<Type>::real_type GBuffer<Type>::SSE( + GBuffer<Type> const& other_buf + ) const +{ + assert(!sleeping_); + + size_type const sizeX = std::min(width_, other_buf.Width()); + size_type const sizeY = std::min(height_, other_buf.Height()); + real_type sum_squared_error = 0; + + real_type error; + for (size_type y = 0; y < sizeY; ++y) + { + for (size_type x = 0; x < sizeX; ++x) + { + error = Pixels(x, y) - other_buf.Pixels(x, y); + sum_squared_error += (error * error); + } + } + return sum_squared_error; +} +//------------------------------------------------------------------------- + +// +// (mean-squared-error) MSE = E{(X1 - X2)^2} = Mean((X1 - X2)^2) +// +template <typename Type> +typename GBuffer<Type>::real_type GBuffer<Type>::MSE( + GBuffer<Type> const& other_buf + ) const +{ + assert(!sleeping_); + + size_type const sizeX = std::min(width_, other_buf.Width()); + size_type const sizeY = std::min(height_, other_buf.Height()); + real_type sum_squared_error = 0; + + real_type error; + for (size_type y = 0; y < sizeY; ++y) + { + for (size_type x = 0; x < sizeX; ++x) + { + error = Pixels(x, y) - other_buf.Pixels(x, y); + sum_squared_error += (error * error); + } + } + return (sum_squared_error / (sizeX * sizeY)); +} +//------------------------------------------------------------------------- + +// +// (root-mean-square-error) RMSE = RMS(X1 - X2) = sqrt(MSE(X1, X2)) +// +template <typename Type> +typename GBuffer<Type>::real_type GBuffer<Type>::RMSE( + GBuffer<Type> const& other_buf + ) const +{ + assert(!sleeping_); + + return std::sqrt(MSE(other_buf)); +} +//------------------------------------------------------------------------- + +// +// (peak signal-to-noise ratio) PSNR = 10*log10(255^2 / MSE(X1, X2)) +// +template <typename Type> +typename GBuffer<Type>::real_type GBuffer<Type>::PSNR( + GBuffer<Type> const& other_buf + ) const +{ + assert(!sleeping_); + + return (10.0 * std::log10(65025.0 / MSE(other_buf))); + // NOTE: 65025.0 == 255*255 +} +//------------------------------------------------------------------------- + +// +// (correlation coefficient) R = sum(x.*y)/sqrt(sum(x.*x)*sum(y.*y)) +// +template <typename Type> +typename GBuffer<Type>::real_type GBuffer<Type>::Correlation( + GBuffer<Type> const& other_buf + ) const +{ + assert(!sleeping_); + + size_type const sizeX = std::min(width_, other_buf.Width()); + size_type const sizeY = std::min(height_, other_buf.Height()); + + real_type sum_xy = 0; + real_type sum_xx = 0; + real_type sum_yy = 0; + + real_type const mX = Mean(); + real_type const mY = other_buf.Mean(); + for (size_type y = 0; y < sizeY; ++y) + { + for (size_type x = 0; x < sizeX; ++x) + { + real_type const x_val = Pixels(x, y) - mX; + real_type const y_val = other_buf.Pixels(x, y) - mY; + sum_xy += (x_val * y_val); + sum_xx += (x_val * x_val); + sum_yy += (y_val * y_val); + } + } + return (sum_xy / std::sqrt(sum_xx * sum_yy)); +} +//------------------------------------------------------------------------- + +// +// Covariance = E{X*Y} = sum(x.*y)/(size(x)*size(y)) +// +template <typename Type> +typename GBuffer<Type>::real_type GBuffer<Type>::Covariance( + GBuffer<Type> const& other_buf + ) const +{ + assert(!sleeping_); + + size_type const sizeX = std::min(width_, other_buf.Width()); + size_type const sizeY = std::min(height_, other_buf.Height()); + + const real_type mX = Mean(); + const real_type mY = other_buf.Mean(); + real_type sum_xy = 0; + + for (size_type y = 0; y < sizeY; ++y) + { + for (size_type x = 0; x < sizeX; ++x) + { + real_type const zm_x_val = Pixels(x, y) - mX; + real_type const zm_y_val = other_buf.Pixels(x, y) - mY; + sum_xy += (zm_x_val * zm_y_val); + } + } + return (sum_xy / (sizeX * sizeY)); +} +//------------------------------------------------------------------------- + +// +// Lmean = E{luminance values} +// +template <typename Type> +typename GBuffer<Type>::real_type GBuffer<Type>::Lmean( + real_type offset, // black level offset + real_type scaling, // pixel-value to voltage scaling factor + real_type gamma // exponent of the power function + ) const +{ + assert(!sleeping_); + + real_type val; + real_type lum_sum = 0.0f; + size_type const size = Size(); + for (size_type index = 0; index < size; ++index) + { + val = offset + scaling*pData_[index]; + if (val > 0) + { + // lum_sum += std::pow(val, gamma); + lum_sum += std::exp(gamma * std::log(val)); + } + } + return (lum_sum / size); +} +//------------------------------------------------------------------------- + +// +// Lrms = StdDev(luminance values) +// +template <typename Type> +typename GBuffer<Type>::real_type GBuffer<Type>::Lrms( + real_type offset, // black level offset + real_type scaling, // pixel-value to voltage scaling factor + real_type gamma // exponent of the power function + ) const +{ + assert(!sleeping_); + + size_type const size = Size(); + GBuffer<Type> LuminanceBuffer(*this); + Type* pData = LuminanceBuffer.Data(); + for (size_type index = 0; index < size; ++index) + { + pData[index] = std::pow(offset + scaling*pData[index], gamma); + } + return LuminanceBuffer.StdDev(); + +/* + real_type val; + real_type lum_sum = 0; + size_type const size = Size(); + for (size_type index = 0; index < size; ++index) + { + val = offset + scaling*pData_[index]; + if (val > 0) + { + val = std::exp(gamma * std::log(val)) - Lmean; + lum_sum += (val * val); + } + } + return std::sqrt(lum_sum / size); +*/ +} +//------------------------------------------------------------------------- + +// +// (RMS contrast) Crms = StdDev(luminance values)/Mean(luminance values) +// +template <typename Type> +typename GBuffer<Type>::real_type GBuffer<Type>::Crms( + real_type Lmean, // mean background luminance + real_type offset, // black level offset + real_type scaling, // pixel-value to voltage scaling factor + real_type gamma // exponent of the power function + ) const +{ + assert(!sleeping_); + + return (Lrms(offset, scaling, gamma) / Lmean); +} +//------------------------------------------------------------------------- + +// +// (Entropy) H = -E{p(X)*log[p(X)]) = -(1/size)*sum(p(x)*log[p(x)]) +// +template <typename Type> +typename GBuffer<Type>::real_type GBuffer<Type>::Entropy() const +{ + assert(!sleeping_); + + hist_type hist(Histogram()); + size_type const size = Size(); + + real_type H = 0.0; + for (typename hist_type::iterator iter = hist.begin(); + iter != hist.end(); ++iter) + { + real_type const p = + static_cast<real_type>((*iter).second) / + static_cast<real_type>(size); + H += (p * std::log(p)); + } + return -(H * 1.4426950); // 1.4426950 = 1/log(2) +} +//------------------------------------------------------------------------- + + + +//-----------------------------------------------------------------// +// Quantization Methods // +//-----------------------------------------------------------------// + +template <typename Type> +void GBuffer<Type>::Quantize( + real_type step_size + ) +{ + assert(!sleeping_); + + if (std::fabs(step_size) < 0.00001) return; + + Type val; + size_type const size = Size(); + real_type const half_step_size = 0.5f * step_size; + for (size_type index = 0; index < size; ++index) + { + val = (pData_[index] >= 0) ? + pData_[index] + half_step_size : + pData_[index] - half_step_size; + pData_[index] = step_size * + static_cast<type::GInt>(val / step_size); + } +} +//------------------------------------------------------------------------- + +template <typename Type> +void GBuffer<Type>::QuantizeInt( + real_type step_size + ) +{ + assert(!sleeping_); + + if (std::fabs(step_size) < 0.00001) return; + + size_type const size = Size(); + real_type const inv_step_size = 1.0 / step_size; + real_type const half_step_size = 0.5 * step_size; + for (size_type index = 0; index < size; ++index) + { + const Type val = (pData_[index] >= 0) ? + pData_[index] + half_step_size : + pData_[index] - half_step_size; + pData_[index] = static_cast<type::GInt>(val * inv_step_size); + } +} +//------------------------------------------------------------------------- + +template <typename Type> +void GBuffer<Type>::DeQuantizeInt( + real_type step_size + ) +{ + assert(!sleeping_); + + if (std::fabs(step_size) < 0.00001) return; + + size_type const size = Size(); + for (size_type index = 0; index < size; ++index) + { + pData_[index] *= step_size; + } +} +//------------------------------------------------------------------------- + +template <typename Type> +void GBuffer<Type>::QuantizeDZ( + real_type step_size + ) +{ + assert(!sleeping_); + + if (std::fabs(step_size) < 0.00001) return; + + size_type const size = Size(); + for (size_type index = 0; index < size; ++index) + { + const type::GInt q_index = pData_[index] / step_size; + if (q_index > 0) + { + pData_[index] = step_size * + (static_cast<real_type>(q_index) + 0.5); + } + else if (q_index < 0) + { + pData_[index] = step_size* + (static_cast<real_type>(q_index) - 0.5); + } + else + { + pData_[index] = 0; + // i.e., = (type::GInt)(pData_[index] / step_size); + // i.e., = q_index + } + } +} +//------------------------------------------------------------------------- + +template <typename Type> +void GBuffer<Type>::QuantizeDZInt( + real_type step_size + ) +{ + assert(!sleeping_); + + if (std::fabs(step_size) < 0.00001) return; + + size_type const size = Size(); + for (size_type index = 0; index < size; ++index) + { + const type::GInt q_index = pData_[index] / step_size; + pData_[index] = q_index; + } +} +//------------------------------------------------------------------------- + +template <typename Type> +void GBuffer<Type>::DeQuantizeDZInt( + real_type step_size + ) +{ + assert(!sleeping_); + + if (std::fabs(step_size) < 0.00001) return; + + size_type const size = Size(); + for (size_type index = 0; index < size; ++index) + { + const type::GInt q_index = pData_[index]; + if (q_index > 0) + { + pData_[index] = step_size * + (static_cast<real_type>(q_index) + 0.5); + } + else if (q_index < 0) + { + pData_[index] = step_size * + (static_cast<real_type>(q_index) - 0.5); + } + else + { + pData_[index] = 0; + // i.e., = (type::GInt)(pData_[index] / step_size); + // i.e., = q_index + } + } +} +//------------------------------------------------------------------------- + +/////////////////////////////////////////////////// +// commonly-used aliases +/////////////////////////////////////////////////// + typedef GBuffer<type::GInt> GIntBuffer; + typedef GBuffer<type::GBool> GBoolBuffer; + typedef GBuffer<type::GFloat> GFloatBuffer; + typedef GBuffer<type::GDouble> GDoubleBuffer; + typedef GBuffer<type::GByte> GByteBuffer; + typedef GBuffer<type::GWord> GWordBuffer; + typedef GBuffer<type::GDWord> GDWordBuffer; + typedef GBuffer<type::GShort> GShortBuffer; + typedef GBuffer<type::GByte3D> GByte3DBuffer; + typedef GBuffer<type::GFloat3D> GFloat3DBuffer; +/////////////////////////////////////////////////// + +#if !defined(_MSC_VER) && !defined(__GNUG__) + +// copy constructor from GFloatBuffer to GByteBuffer +template <> +inline GByteBuffer::GBuffer( + const GFloatBuffer& copy + ) : pData_(NULL), width_(copy.Width()), height_(copy.Height()), + tagX_(copy.TagX()), tagY_(copy.TagY()), sleeping_(copy.Asleep()) +{ + UpdateMemory(false); + const GFloatBuffer::data_type* pData = copy.Data(); + if (pData_ && pData) + { + size_type const size = Size(); + for (size_type index = 0; index < size; ++index) + { + pData_[index] = static_cast<GByteBuffer::data_type>( + type::round2byte(pData[index]) + ); + } + } +} +//------------------------------------------------------------------------- + +// copy constructor from GFloatBuffer to GIntBuffer +template <> +inline GIntBuffer::GBuffer( + const GFloatBuffer& copy + ) : pData_(NULL), width_(copy.Width()), height_(copy.Height()), + tagX_(copy.TagX()), tagY_(copy.TagY()), sleeping_(copy.Asleep()) +{ + UpdateMemory(false); + const GFloatBuffer::data_type* pData = copy.Data(); + if (pData_ && pData) + { + size_type const size = Size(); + for (size_type index = 0; index < size; ++index) + { + pData_[index] = static_cast<GIntBuffer::data_type>( + 0.5 + pData[index] + ); + } + } +} +//------------------------------------------------------------------------- + +// copy constructor from GDoubleBuffer to GByteBuffer +template <> +inline GByteBuffer::GBuffer( + const GDoubleBuffer& copy + ) : pData_(NULL), width_(copy.Width()), height_(copy.Height()), + tagX_(copy.TagX()), tagY_(copy.TagY()), sleeping_(copy.Asleep()) +{ + UpdateMemory(false); + const GDoubleBuffer::data_type* pData = copy.Data(); + if (pData_ && pData) + { + size_type const size = Size(); + for (size_type index = 0; index < size; ++index) + { + pData_[index] = static_cast<GByteBuffer::data_type>( + type::round2byte(pData[index]) + ); + } + } +} +//------------------------------------------------------------------------- + +// copy constructor from GDoubleBuffer to GIntBuffer +template <> +inline GIntBuffer::GBuffer( + const GDoubleBuffer& copy + ) : pData_(NULL), width_(copy.Width()), height_(copy.Height()), + tagX_(copy.TagX()), tagY_(copy.TagY()), sleeping_(copy.Asleep()) +{ + UpdateMemory(false); + const GDoubleBuffer::data_type* pData = copy.Data(); + if (pData_ && pData) + { + size_type const size = Size(); + for (size_type index = 0; index < size; ++index) + { + pData_[index] = static_cast<GIntBuffer::data_type>( + 0.5 + pData[index] + ); + } + } +} +//------------------------------------------------------------------------- + +#endif // !defined(_MSC_VER) + +// if Visual C++, use these utlity functions instead + +////////////////////////////////////////////////////// +// type-conversion utility functions +////////////////////////////////////////////////////// +// +GFloatBuffer byte2float(const GByteBuffer& BufferIn); +GByteBuffer float2byte(const GFloatBuffer& BufferIn); +GFloatBuffer int2float(const GIntBuffer& BufferIn); +GIntBuffer float2int(const GFloatBuffer& BufferIn); +GIntBuffer byte2int(const GByteBuffer& BufferIn); +GByteBuffer int2byte(const GIntBuffer& BufferIn); +// +////////////////////////////////////////////////////// + +} // namespace buf + +#if defined(__BORLANDC__) + #pragma warn .8027 +#endif + +//========================================================================= +#endif // gbufferH +//========================================================================= + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gbufferlist.cpp b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gbufferlist.cpp new file mode 100644 index 0000000..0223460 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gbufferlist.cpp @@ -0,0 +1,32 @@ + +//////////////////////////////////////////////////////////////////////////// +// // +// COPYRIGHT (c) 1998, 2002, VCL // +// ------------------------------ // +// Permission to use, copy, modify, distribute and sell this software // +// and its documentation for any purpose is hereby granted without fee, // +// provided that the above copyright notice appear in all copies and // +// that both that copyright notice and this permission notice appear // +// in supporting documentation. VCL makes no representations about // +// the suitability of this software for any purpose. // +// // +// DISCLAIMER: // +// ----------- // +// The code provided hereunder is provided as is without warranty // +// of any kind, either express or implied, including but not limited // +// to the implied warranties of merchantability and fitness for a // +// particular purpose. The author(s) shall in no event be liable for // +// any damages whatsoever including direct, indirect, incidental, // +// consequential, loss of business profits or special damages. // +// // +//////////////////////////////////////////////////////////////////////////// + +//========================================================================= +#include "gbufferlist.h" +// template class +//========================================================================= + + + + + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gbufferlist.h b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gbufferlist.h new file mode 100644 index 0000000..10783d7 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gbufferlist.h @@ -0,0 +1,353 @@ + +//////////////////////////////////////////////////////////////////////////// +// // +// COPYRIGHT (c) 1998, 2002, VCL // +// ------------------------------ // +// Permission to use, copy, modify, distribute and sell this software // +// and its documentation for any purpose is hereby granted without fee, // +// provided that the above copyright notice appear in all copies and // +// that both that copyright notice and this permission notice appear // +// in supporting documentation. VCL makes no representations about // +// the suitability of this software for any purpose. // +// // +// DISCLAIMER: // +// ----------- // +// The code provided hereunder is provided as is without warranty // +// of any kind, either express or implied, including but not limited // +// to the implied warranties of merchantability and fitness for a // +// particular purpose. The author(s) shall in no event be liable for // +// any damages whatsoever including direct, indirect, incidental, // +// consequential, loss of business profits or special damages. // +// // +//////////////////////////////////////////////////////////////////////////// + +//========================================================================= +#ifndef gbufferlistH +#define gbufferlistH +//========================================================================= + +#include <vector> +#include <memory> +#include <stdexcept> +#include "gbuffer.h" + +#if defined(__BORLANDC__) + #pragma warn -8027 +#endif +//========================================================================= + +namespace buf { + +template <class BufferType> +class GBufferList +{ +typedef std::out_of_range GInvalidIndex; +typedef std::vector<BufferType*> Container; +typedef typename Container::iterator Iterator; + +public: + typedef BufferType buf_type; + typedef typename Container::size_type size_type; + typedef typename buf_type::size_type buf_size_type; + + // default constructor + GBufferList() {} + // constructor that creates 'count' empty elements + GBufferList(size_type count); + // copy constructor + GBufferList(const GBufferList<BufferType>& copy); + + // destructor + virtual ~GBufferList(); + + // assignment operator + GBufferList<BufferType>& operator =( + const GBufferList<BufferType>& rhs); + + // list-related member functions + Container& Items() + { + return items_; + } + Container const& Items() const + { + return items_; + } + virtual const BufferType& Items(size_type index) const + { + #ifndef GBUFFERLIST_NO_RANGE_CHECK + if (index >= Count()) + { + throw GInvalidIndex("Items(index)"); + } + #endif + return **(items_.begin() + index); + } + + virtual BufferType& Items(size_type index) + { + #ifndef GBUFFERLIST_NO_RANGE_CHECK + if (index >= Count()) + { + throw GInvalidIndex("Items(index)"); + } + #endif + return **(items_.begin() + index); + } + + virtual BufferType& Add(const buf_type& Item); + virtual BufferType& Add(buf_size_type width = 0, + buf_size_type height = 0); + + virtual BufferType& Insert(size_type index, const buf_type& Item); + virtual BufferType& Insert(size_type index, + buf_size_type width = 0, buf_size_type height = 0); + + virtual void Replace(size_type index, const buf_type& Item); + virtual void Delete(size_type index); + virtual void Clear(); + + void Alloc(size_type count) + { + Reserve(count); + for (size_type index = 0; index < count; index++) + { + Add(0, 0); + } + } + size_type Count() const + { + return items_.size(); + } + bool Empty() const + { + return items_.empty(); + } + void Reserve(size_type count) + { + items_.reserve(Count() + count); + } + +private: + Container items_; +}; + +//========================================================================= + + + +// constructor that creates 'count' empty elements +template <class BufferType> +GBufferList<BufferType>::GBufferList( + size_type count + ) +{ + Alloc(count); +} +//------------------------------------------------------------------------- + +// copy constructor +template <class BufferType> +GBufferList<BufferType>::GBufferList( + const GBufferList<BufferType>& copy + ) +{ + Clear(); + const size_type count = copy.Count(); + for (size_type index = 0; index < count; index++) + { + Add(copy.Items(index)); + } +} +//------------------------------------------------------------------------- + +// default destructor +template <class BufferType> +GBufferList<BufferType>::~GBufferList() +{ + const Iterator items_end = items_.end(); + for (Iterator iter = items_.begin(); iter != items_end; ++iter) + { + delete *iter; + } +} +//------------------------------------------------------------------------- + +// assignment operator +template <class BufferType> +GBufferList<BufferType>& GBufferList<BufferType>::operator =( + const GBufferList<BufferType>& rhs + ) +{ + if (&rhs != this) + { + Clear(); + const size_type count = rhs.Count(); + for (size_type index = 0; index < count; index++) + { + Add(rhs.Items(index)); + } + } + return *this; +} +//------------------------------------------------------------------------- + +template <class BufferType> +BufferType& GBufferList<BufferType>::Add( + buf_size_type width, + buf_size_type height + ) +{ + BufferType* pItem = new BufferType(width, height); + try + { + items_.push_back(pItem); + return *pItem; + } + catch (...) + { + delete pItem; + throw; + } +} +//------------------------------------------------------------------------- + +template <class BufferType> +BufferType& GBufferList<BufferType>::Add( + const buf_type& Item + ) +{ + BufferType* pItem = new BufferType(Item); + try + { + items_.push_back(pItem); + return *pItem; + } + catch (...) + { + delete pItem; + throw; + } +} +//------------------------------------------------------------------------- + +template <class BufferType> +BufferType& GBufferList<BufferType>::Insert( + size_type index, + buf_size_type width, + buf_size_type height + ) +{ +#ifndef GBUFFERLIST_NO_RANGE_CHECK + if (index >= Count()) + { + throw GInvalidIndex("Insert(index, width, height)"); + } +#endif + + BufferType* pItem = new BufferType(width, height); + try + { + return **items_.insert(items_.begin() + index + 1, pItem); + } + catch (...) + { + delete pItem; + throw; + } +} +//------------------------------------------------------------------------- + +template <class BufferType> +BufferType& GBufferList<BufferType>::Insert( + size_type index, + const buf_type& Item + ) +{ +#ifndef GBUFFERLIST_NO_RANGE_CHECK + if (index >= Count()) + { + throw GInvalidIndex("Insert(index, Item)"); + } +#endif + + BufferType* pItem = new BufferType(Item); + try + { + return **items_.insert(items_.begin() + index + 1, pItem); + } + catch (...) + { + delete pItem; + throw; + } +} +//------------------------------------------------------------------------- + +template <class BufferType> +void GBufferList<BufferType>::Replace( + size_type index, + const buf_type& Item + ) +{ +#ifndef GBUFFERLIST_NO_RANGE_CHECK + if (index >= Count()) + { + throw GInvalidIndex("Replace()"); + } +#endif + Items(index) = Item; +} +//------------------------------------------------------------------------- + +template <class BufferType> +void GBufferList<BufferType>::Delete( + size_type index + ) +{ +#ifndef GBUFFERLIST_NO_RANGE_CHECK + if (index >= Count()) + { + throw GInvalidIndex("Delete()"); + } +#endif + delete *(items_.begin() + index); + items_.erase(items_.begin() + index); +} +//------------------------------------------------------------------------- + +template <class BufferType> +void GBufferList<BufferType>::Clear() +{ + const Iterator items_end = items_.end(); + for (Iterator iter = items_.begin(); iter != items_end; ++iter) + { + delete *iter; + } + items_.clear(); +} +//------------------------------------------------------------------------- + +////////////////////////////////////////////////////////////// +// commonly-used aliases +////////////////////////////////////////////////////////////// + typedef GBufferList<buf::GFloatBuffer> GFloatBufferList; + typedef GBufferList<buf::GDoubleBuffer> GDoubleBufferList; + typedef GBufferList<buf::GByteBuffer> GByteBufferList; + typedef GBufferList<buf::GIntBuffer> GIntBufferList; + typedef GBufferList<buf::GDWordBuffer> GDWordBufferList; + typedef GBufferList<buf::GShortBuffer> GShortBufferList; + typedef GBufferList<buf::GWordBuffer> GWordBufferList; + typedef GBufferList<buf::GBoolBuffer> GBoolBufferList; +////////////////////////////////////////////////////////////// + +} // namespace buf + +#if defined(__BORLANDC__) + #pragma warn .8027 +#endif + +//========================================================================= +#endif // gbufferlistH +//========================================================================= + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gfile.h b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gfile.h new file mode 100644 index 0000000..419b0fa --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gfile.h @@ -0,0 +1,189 @@ + +//////////////////////////////////////////////////////////////////////////// +// // +// COPYRIGHT (c) 1998, 2002, VCL // +// ------------------------------ // +// Permission to use, copy, modify, distribute and sell this software // +// and its documentation for any purpose is hereby granted without fee, // +// provided that the above copyright notice appear in all copies and // +// that both that copyright notice and this permission notice appear // +// in supporting documentation. VCL makes no representations about // +// the suitability of this software for any purpose. // +// // +// DISCLAIMER: // +// ----------- // +// The code provided hereunder is provided as is without warranty // +// of any kind, either express or implied, including but not limited // +// to the implied warranties of merchantability and fitness for a // +// particular purpose. The author(s) shall in no event be liable for // +// any damages whatsoever including direct, indirect, incidental, // +// consequential, loss of business profits or special damages. // +// // +//////////////////////////////////////////////////////////////////////////// + +//========================================================================= +#ifndef gfileH +#define gfileH +//========================================================================= + +#include "gtypes.h" +#include <vector> + +#if defined(_MSC_VER) + namespace std { + using ::FILE; + using ::fread; + using ::fwrite; + using ::fopen; + using ::fclose; + using ::fseek; + using ::ftell; + } +#endif +//========================================================================= + +namespace file { + +template <typename Type> +inline Type swap_end16(Type val) +{ + type::GByte* const cptr = reinterpret_cast<type::GByte*>(&val); + type::GByte const tmp = cptr[0]; + cptr[0] = cptr[1]; + cptr[1] = tmp; + return val; +} +//--------------------------------------------------------------------- + +template <typename Type> +inline Type swap_end32(Type val) +{ + type::GByte* const cptr = reinterpret_cast<type::GByte*>(&val); + type::GByte tmp = cptr[0]; + cptr[0] = cptr[3]; + cptr[3] = tmp; + tmp = cptr[1]; + cptr[1] = cptr[2]; + cptr[2] = tmp; + return val; +} +//--------------------------------------------------------------------- + +template <typename Type> +inline Type swap_end(Type val) +{ + if (sizeof(Type) == 2) + { + return swap_end16(val); + } + else if (sizeof(Type) == 4) + { + return swap_end32(val); + } + return val; +} +//--------------------------------------------------------------------- + + +class GFile +{ +public: + typedef type::GSize size_type; + typedef type::GString str_type; + typedef std::runtime_error except_type; + +public: + GFile(str_type const& fname, str_type const& mode) : p_file_(NULL) + { + p_file_ = std::fopen(fname.c_str(), mode.c_str()); + if (p_file_ == NULL) + { + throw except_type("Error opening file: " + fname); + } + } + ~GFile() + { + if (p_file_ != NULL) + { + std::fclose(p_file_); + } + } + +public: + std::FILE* Handle() const { return p_file_; } + +public: + template <typename Type> + Type Read(bool swap = false) const + { + Type val; + if (std::fread(&val, sizeof(Type), 1, p_file_) != 1) + { + throw except_type("Error reading data: " + type::type2str(val)); + } + return (swap) ? swap_end(val) : val; + } + template <typename Type> + void Read(Type* p_val, size_type num_items, bool swap = false) + const + { + if (std::fread(p_val, sizeof(Type), num_items, p_file_) + != num_items) + { + throw except_type("Error reading data"); + } + if (swap) + { + for (size_type index = 0; index < num_items; ++index) + { + p_val[index] = swap_end(p_val[index]); + } + } + } + template <typename Type> + void Write(Type val, bool swap = false) const + { + if (swap) + { + val = swap_end(val); + } + if (std::fwrite(&val, sizeof(Type), 1, p_file_) != 1) + { + throw except_type("Error writing data: " + type::type2str(val)); + } + } + template <typename Type> + void Write(Type const* p_val, size_type num_items, bool swap = false) + const + { + if (swap) + { + for (size_type index = 0; index < num_items; ++index) + { + Type const val = swap_end(p_val[index]); + if (std::fwrite(&val, sizeof(Type), 1, p_file_) != 1) + { + throw except_type("Error writing data"); + } + } + } + else + { + if (std::fwrite(p_val, sizeof(Type), num_items, p_file_) + != num_items) + { + throw except_type("Error writing data"); + } + } + } + +private: + std::FILE* p_file_; +}; +//--------------------------------------------------------------------- + +} // namspace file + +//========================================================================= +#endif +//========================================================================= diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gstepsizes.cpp b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gstepsizes.cpp new file mode 100644 index 0000000..ab74239 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gstepsizes.cpp @@ -0,0 +1,28 @@ + +//////////////////////////////////////////////////////////////////////////// +// // +// COPYRIGHT (c) 1998, 2002, VCL // +// ------------------------------ // +// Permission to use, copy, modify, distribute and sell this software // +// and its documentation for any purpose is hereby granted without fee, // +// provided that the above copyright notice appear in all copies and // +// that both that copyright notice and this permission notice appear // +// in supporting documentation. VCL makes no representations about // +// the suitability of this software for any purpose. // +// // +// DISCLAIMER: // +// ----------- // +// The code provided hereunder is provided as is without warranty // +// of any kind, either express or implied, including but not limited // +// to the implied warranties of merchantability and fitness for a // +// particular purpose. The author(s) shall in no event be liable for // +// any damages whatsoever including direct, indirect, incidental, // +// consequential, loss of business profits or special damages. // +// // +//////////////////////////////////////////////////////////////////////////// + +//=========================================================================== +#include "gstepsizes.h" +// template class +//=========================================================================== + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gstepsizes.h b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gstepsizes.h new file mode 100644 index 0000000..9bea635 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gstepsizes.h @@ -0,0 +1,131 @@ + +//////////////////////////////////////////////////////////////////////////// +// // +// COPYRIGHT (c) 1998, 2002, VCL // +// ------------------------------ // +// Permission to use, copy, modify, distribute and sell this software // +// and its documentation for any purpose is hereby granted without fee, // +// provided that the above copyright notice appear in all copies and // +// that both that copyright notice and this permission notice appear // +// in supporting documentation. VCL makes no representations about // +// the suitability of this software for any purpose. // +// // +// DISCLAIMER: // +// ----------- // +// The code provided hereunder is provided as is without warranty // +// of any kind, either express or implied, including but not limited // +// to the implied warranties of merchantability and fitness for a // +// particular purpose. The author(s) shall in no event be liable for // +// any damages whatsoever including direct, indirect, incidental, // +// consequential, loss of business profits or special damages. // +// // +//////////////////////////////////////////////////////////////////////////// + +//=========================================================================== +#ifndef gstepsizesH +#define gstepsizesH +//=========================================================================== + +#include <cassert> +#include "gbuffer.h" +//=========================================================================== + +namespace buf { + +template <class Type> +class GStepSizes +{ +public: + typedef Type data_type; + typedef unsigned char scale_type; + typedef typename GBuffer<Type>::size_type size_type; + +public: + GStepSizes(scale_type num_scales = 5) + : num_steps_(static_cast<size_type>(1.5 + 3.0*num_scales)) + { + Steps_.Resize(1, num_steps_, GBuffer<Type>::rt_none); + Steps_.ZeroData(); + } + + size_type NumSteps() const { return num_steps_; } + Type const* Data() const { return Steps_.Data(); } + Type* Data() { return Steps_.Data(); } + + scale_type NumScales() const + { + return static_cast<scale_type>(0.5 + (num_steps_ - 1) / 3.0); + } + void NumScales(scale_type num_scales) + { + num_steps_ = static_cast<size_type>(1.5 + 3.0*num_scales); + Steps_.Resize(num_steps_, 1, false); + Steps_.ZeroData(); + } + + Type LL() const + { + assert(num_steps_ > 0); + return Steps_.Data(0); + } + Type LH(scale_type scale_index) const + { + assert(static_cast<size_type>(3*scale_index) < num_steps_); + return Steps_.Data(num_steps_ - 3*scale_index); + } + Type HL(scale_type scale_index) const + { + assert(static_cast<size_type>(3*scale_index - 1) < num_steps_); + return Steps_.Data(num_steps_ - 3*scale_index + 1); + } + Type HH(scale_type scale_index) const + { + assert(static_cast<size_type>(3*scale_index - 2) < num_steps_); + return Steps_.Data(num_steps_ - 3*scale_index + 2); + } + + void LL(Type Q) + { + assert(num_steps_ > 0); + Steps_.Data(0, Q); + } + void LH(scale_type scale_index, Type Q) + { + assert(static_cast<size_type>(3*scale_index) < num_steps_); + Steps_.Data(num_steps_ - 3*scale_index, Q); + } + void HL(scale_type scale_index, Type Q) + { + assert(static_cast<size_type>(3*scale_index - 1) < num_steps_); + Steps_.Data(num_steps_ - 3*scale_index + 1, Q); + } + void HH(scale_type scale_index, Type Q) + { + assert(static_cast<size_type>(3*scale_index - 2) < num_steps_); + Steps_.Data(num_steps_ - 3*scale_index + 2, Q); + } + +private: + GBuffer<Type> Steps_; + size_type num_steps_; +}; + +////////////////////////////////////////////////////// +// commonly-used aliases +////////////////////////////////////////////////////// + typedef GStepSizes<int> GIntStepSizes; + typedef GStepSizes<short> GShortStepSizes; + typedef GStepSizes<float> GFloatStepSizes; + typedef GStepSizes<double> GDoubleStepSizes; + typedef GStepSizes<unsigned char> GByteStepSizes; + typedef GStepSizes<unsigned short> GWordStepSizes; + typedef GStepSizes<unsigned int> GDWordStepSizes; + typedef GStepSizes<short> GShortStepSizes; +////////////////////////////////////////////////////// + +} // namespace buf + +//=========================================================================== +#endif // gstepsizesH +//=========================================================================== + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gtransform.cpp b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gtransform.cpp new file mode 100644 index 0000000..23db80b --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gtransform.cpp @@ -0,0 +1,28 @@ + +//////////////////////////////////////////////////////////////////////////// +// // +// COPYRIGHT (c) 1998, 2002, VCL // +// ------------------------------ // +// Permission to use, copy, modify, distribute and sell this software // +// and its documentation for any purpose is hereby granted without fee, // +// provided that the above copyright notice appear in all copies and // +// that both that copyright notice and this permission notice appear // +// in supporting documentation. VCL makes no representations about // +// the suitability of this software for any purpose. // +// // +// DISCLAIMER: // +// ----------- // +// The code provided hereunder is provided as is without warranty // +// of any kind, either express or implied, including but not limited // +// to the implied warranties of merchantability and fitness for a // +// particular purpose. The author(s) shall in no event be liable for // +// any damages whatsoever including direct, indirect, incidental, // +// consequential, loss of business profits or special damages. // +// // +//////////////////////////////////////////////////////////////////////////// + +//========================================================================= +#include "gtransform.h" +// template class +//========================================================================= + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gtransform.h b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gtransform.h new file mode 100644 index 0000000..1ab8255 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gtransform.h @@ -0,0 +1,406 @@ + +//////////////////////////////////////////////////////////////////////////// +// // +// COPYRIGHT (c) 1998, 2002, VCL // +// ------------------------------ // +// Permission to use, copy, modify, distribute and sell this software // +// and its documentation for any purpose is hereby granted without fee, // +// provided that the above copyright notice appear in all copies and // +// that both that copyright notice and this permission notice appear // +// in supporting documentation. VCL makes no representations about // +// the suitability of this software for any purpose. // +// // +// DISCLAIMER: // +// ----------- // +// The code provided hereunder is provided as is without warranty // +// of any kind, either express or implied, including but not limited // +// to the implied warranties of merchantability and fitness for a // +// particular purpose. The author(s) shall in no event be liable for // +// any damages whatsoever including direct, indirect, incidental, // +// consequential, loss of business profits or special damages. // +// // +//////////////////////////////////////////////////////////////////////////// + +//========================================================================= +#ifndef gtransformH +#define gtransformH +//========================================================================= + +#include "gwavelist.h" +//========================================================================= + +namespace wavlet { + +template <class ListType> +class GTransform +{ +public: + typedef ListType list_type; + typedef typename list_type::buf_type buf_type; + typedef typename buf_type::size_type size_type; + typedef typename list_type::index_type index_type; + + // default destructor + virtual ~GTransform() {} + + virtual void Decompose(list_type& WaveList, index_type num_scales); + virtual void Reconstruct(list_type& WaveList); + virtual void ReconstructOne(list_type& WaveList, + index_type non_zero_scale, index_type non_zero_orient); + +protected: + // forward DWT (pure virtual functions--must be overriden or augmented) + virtual void DoTransformRows( + const buf_type& Buffer, buf_type& L, buf_type& H + ) = 0; + virtual void DoTransformCols( + const buf_type& Buffer, buf_type& L, buf_type& H + ) = 0; + + // inverse DWT (pure virtual functions--must be overriden or augmented) + virtual void DoUntransformRows( + buf_type& Buffer, const buf_type& L, const buf_type& H + ) = 0; + virtual void DoUntransformCols( + buf_type& Buffer, const buf_type& L, const buf_type& H + ) = 0; + + virtual void DoDecompose(list_type& WaveList, index_type scale_index); + virtual void DoReconstruct(list_type& WaveList, index_type scale_index); + virtual void DoReconstructOne(list_type& WaveList, index_type scale_index, + index_type non_zero_scale, index_type non_zero_orient); +}; +//========================================================================= + +//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +// +// Each level of decomposition yields a GWaveList with seven images: +// +// WaveList = +// ... ------------------------------------------------------- ... +// ... LL0 | L1 | H1 | HH1 | HL1 | LH1 | LL1 ... +// ... ------------------------------------------------------- ... +// [0] [1] [2] [3] [4] [5] [6] +// [7] [8] [9] [10] [11] [12] +// [13] [14] [15] [16] [17] [18] +// [19] [20] [21] [22] [23] [24] +// [25] [26] [27] [28] [29] [30] +// +// The Decompose() method uses the first image in the list as the +// source image. It then decomposes (forward DWTs) this image +// and stores the results as depicted above, in the list. The +// source image, WaveList->Image() remains untouched. L1 is +// the smooth (low-passed) image whose rows have been transformed. +// H1 is the detail (high-passed) image whose rows have been +// transformed. HH1 is the detail (high-high passed) image whose +// rows then columns have been transformed. HL1 is the detail +// (high-low passed) image whose rows then columns have been +// transformed. LH1 is the detail (low-high passed) image whose +// rows then columns have been transformed. Finally, LL1 is the +// smooth (low-low-passed) image whose rows then columns have been +// transformed. LL1 is used as the source image for the next +// level of decomposition. For this reason, the LL buffers are +// stored last in the zero-based indices [0, 6, 12, 18, 24, ...]. +// +//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +template<class ListType> +void GTransform<ListType>::Decompose( + list_type& WaveList, + index_type num_scales + ) +{ + // assure that the source image is appropriately sized + WaveList.AddPadding(num_scales); + // assure that there's room for the subbands + WaveList.AllocBands(num_scales); + // perform the forward DWT + for (index_type scale_index = 0; scale_index < num_scales; + ++scale_index) + { + DoDecompose(WaveList, scale_index); + } +} +//------------------------------------------------------------------------- + +//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +// +// The Reconstruct() method uses the last four buffers (HHn, HLn, +// LHn, LLn) in the list as the starting point, and then inverse +// transforms their columns, storing the result in the fourth and +// fifth from the last positions (Hn and Ln, repsectively). It +// then inverse transforms these results, storing the result in +// the LL(n-1) position. This latter result is then used to +// reconstruct the next level. Upon completion, the inverse +// transformed image is stored in the first position of the list. +// +//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +template<class ListType> +void GTransform<ListType>::Reconstruct( + list_type& WaveList + ) +{ + // perform the inverse DWT + const index_type num_scales = WaveList.NumScales(); + for (index_type scale_index = num_scales; scale_index >= 1; + --scale_index) + { + DoReconstruct(WaveList, scale_index); + } + // remove the padding from the image, if neccessary + WaveList.RemovePadding(); +} +//------------------------------------------------------------------------- + +template<class ListType> +void GTransform<ListType>::ReconstructOne( + list_type& WaveList, + index_type non_zero_scale, + index_type non_zero_orient + ) +{ + // perform the inverse DWT + const index_type num_scales = WaveList.NumScales(); + for (index_type scale_index = num_scales; scale_index >= 1; + --scale_index) + { + DoReconstructOne(WaveList, scale_index, + non_zero_scale, non_zero_orient); + } + // remove the padding from the image, if neccessary + WaveList.RemovePadding(); +} +//------------------------------------------------------------------------- + + + +template<class ListType> +void GTransform<ListType>::DoDecompose( + list_type& WaveList, + index_type scale_index + ) +{ + // 2D transform + if (WaveList.Image().Height() > 1) + { + // + // extract the source image (or the LL subband + // from the previous level of decomposition) + // + buf_type& LL = WaveList.LL(scale_index); + ++scale_index; // analysis will be stored at the next scale + + // grab a reference to the L and H subbands + buf_type& L = WaveList.L(scale_index); + buf_type& H = WaveList.H(scale_index); + + // filter the rows and downsample horizontally + DoTransformRows(LL, L, H); + if (scale_index > 0) + { + LL.Sleep(); + } + + // filter the columns and downsample vertically + DoTransformCols( + H, WaveList.HL(scale_index), WaveList.HH(scale_index) + ); + DoTransformCols( + L, WaveList.LL(scale_index), WaveList.LH(scale_index) + ); + H.Sleep(); + L.Sleep(); + } + else // 1D transform + { + // + // extract the source signal (or the L subband + // from the previous level of decomposition) + // + buf_type& Lprev = (scale_index == 0) ? + WaveList.Image() : WaveList.L(scale_index); + ++scale_index; // analysis will be stored at the next scale + + // grab a reference to the L and H subbands + buf_type& L = WaveList.L(scale_index); + buf_type& H = WaveList.H(scale_index); + + // filter the rows and downsample horizontally + DoTransformRows(Lprev, L, H); + if (scale_index > 0) + { + Lprev.Sleep(); + } + } +} +//------------------------------------------------------------------------- + +template<class ListType> +void GTransform<ListType>::DoReconstruct( + list_type& WaveList, + index_type scale_index + ) +{ + // 2D transform + if (WaveList.Image().Height() > 1) + { + // extract the HH and HL subbands from the list + const buf_type& HH = WaveList.HH(scale_index); + const buf_type& HL = WaveList.HL(scale_index); + // + // extract the H subband from the list + // (this buffer will be overwritten) + // + buf_type& H = WaveList.H(scale_index); + H.Awaken(); + // + // upsample vertically, filter the columns, and then + // sum the results (which are stored in H) + // H = filter(HL_up_2 w/ filt7) + filter(HH_up_2 w/ filt9) + // + DoUntransformCols(H, HL, HH); + + // extract the LH and LL subbands from the list + const buf_type& LH = WaveList.LH(scale_index); + const buf_type& LL = WaveList.LL(scale_index); + // + // extract the L subband from the list + // (this buffer will be overwritten) + // + buf_type& L = WaveList.L(scale_index); + L.Awaken(); + // + // upsample vertically, filter the columns, and then + // sum the results (which are stored in L) + // L = filter(LL_up_2 w/ filt7) + filter(LH_up_2 w/ filt9) + // + DoUntransformCols(L, LL, LH); + + // + // extract the buffer for the reconstructed image + // (this buffer will be overwritten) + // + buf_type& LLprev = WaveList.LL(scale_index - 1); + LLprev.Awaken(); + // + // upsample horizontally, filter the rows, and then + // sum the results (which are stored in LL_prev_scale) + // LLprev = filter(L_up_2 w/ filt7) + filter(H_up_2 w/ filt9) + // + DoUntransformRows(LLprev, L, H); + } + else // 1D transform + { + // + // extract the buffer for the reconstructed signal + // (this buffer will be overwritten) + // + buf_type& Lprev = (scale_index == 1) ? + WaveList.Image() : WaveList.L(scale_index - 1); + Lprev.Awaken(); + + // extract the component subbands + buf_type& H = WaveList.H(scale_index); + H.Awaken(); + buf_type& L = WaveList.L(scale_index); + L.Awaken(); + + // + // upsample horizontally, filter the rows, and then + // sum the results (which are stored in Lprev) + // Lprev = filter(L_up_2 w/ filt7) + filter(H_up_2 w/ filt9) + // + DoUntransformRows(Lprev, L, H); + } +} +//------------------------------------------------------------------------- + +template<class ListType> +void GTransform<ListType>::DoReconstructOne( + list_type& WaveList, + index_type scale_index, + index_type non_zero_scale, + index_type non_zero_orient + ) +{ + // if this scale, doesn't contain the non-zero subband, + // there's no need to synthesize (compute the LL band) + // for this scale, just skip it altogether + if (scale_index > non_zero_scale) + { + buf_type& LLprev = WaveList.LL(scale_index - 1); + LLprev.Awaken(); + LLprev = 0; + return; + } + else if (scale_index < non_zero_scale) + { + non_zero_orient = 4; + } + + // at this point, we're synthesizing the scale + // that contains the non-zero subband; we can + // still skip the branch (LL/LH or HL/HH) whose + // bands are all zeros... + + // extract the H and L subbands from the list + buf_type& H = WaveList.H(scale_index); + buf_type& L = WaveList.L(scale_index); + H.Awaken(); + L.Awaken(); + + switch (non_zero_orient) + { + // the HH or HL band is non-zero, + // so perform the HL/HH branch + case 1: + case 2: + { + // extract the HH and HL subbands from the list + const buf_type& HH = WaveList.HH(scale_index); + const buf_type& HL = WaveList.HL(scale_index); + + // upsample vertically, filter the columns, and then + // sum the results (which are stored in H) + // H = filter(HL_up_2 w/ filt7) + filter(HH_up_2 w/ filt9) + DoUntransformCols(H, HL, HH); + L = 0; + break; + } + // the LH band is non-zero, + // so perform the LL/LH branch + case 0: + case 4: + { + // extract the LH and LL subbands from the list + const buf_type& LH = WaveList.LH(scale_index); + const buf_type& LL = WaveList.LL(scale_index); + + // upsample vertically, filter the columns, and then + // sum the results (which are stored in L) + // L = filter(LL_up_2 w/ filt7) + filter(LH_up_2 w/ filt9) + DoUntransformCols(L, LL, LH); + H = 0; + break; + } + } + + // extract the buffer for the reconstructed image + // (this buffer will be overwritten) + buf_type& LLprev = WaveList.LL(scale_index - 1); + LLprev.Awaken(); + + // upsample horizontally, filter the rows, and then + // sum the results (which are stored in LL_prev_scale) + // LLprev = filter(L_up_2 w/ filt7) + filter(H_up_2 w/ filt9) + DoUntransformRows(LLprev, L, H); +} +//------------------------------------------------------------------------- + +} // namspace wavlet + +//========================================================================= +#endif // GTRANSFORM_H +//========================================================================= + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gtypes.h b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gtypes.h new file mode 100644 index 0000000..3bcc79d --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gtypes.h @@ -0,0 +1,230 @@ +//////////////////////////////////////////////////////////////////////////// +// // +// COPYRIGHT (c) 1998, 2002, VCL // +// ------------------------------ // +// Permission to use, copy, modify, distribute and sell this software // +// and its documentation for any purpose is hereby granted without fee, // +// provided that the above copyright notice appear in all copies and // +// that both that copyright notice and this permission notice appear // +// in supporting documentation. VCL makes no representations about // +// the suitability of this software for any purpose. // +// // +// DISCLAIMER: // +// ----------- // +// The code provided hereunder is provided as is without warranty // +// of any kind, either express or implied, including but not limited // +// to the implied warranties of merchantability and fitness for a // +// particular purpose. The author(s) shall in no event be liable for // +// any damages whatsoever including direct, indirect, incidental, // +// consequential, loss of business profits or special damages. // +// // +//////////////////////////////////////////////////////////////////////////// + +//========================================================================= +#ifndef gtypesH +#define gtypesH +//========================================================================= + +#include <ctime> +#include <cstddef> +#include <cstring> +#include <sstream> +#include <string> +//========================================================================= + +namespace type { + +typedef bool GBool; +typedef unsigned char GByte; +typedef int GInt; +typedef unsigned int GUInt; +typedef float GFloat; +typedef double GDouble; +typedef std::size_t GSize; +typedef short GShort; +typedef unsigned short GWord; +typedef unsigned int GDWord; +typedef long int GLong; +typedef std::string GString; +//--------------------------------------------------------------------- + +struct GRGB { + GByte r, g, b; + }; +//--------------------------------------------------------------------- + +struct GRect { + GSize x, y, w, h; + }; +//--------------------------------------------------------------------- + +class GPoint +{ +public: + GPoint() {}; + GPoint(int x, int y) : x_(x), y_(y) {}; + bool operator ==(GPoint const& rhs) + { + return (x_ == rhs.x() && y_ == rhs.y()); + } + int x() const { return x_; } + int y() const { return y_; } + void x(int x) { x_ = x; } + void y(int y) { y_ = y; } + +private: + int x_; + int y_; +}; +//--------------------------------------------------------------------- + +template <typename Type> +class GData3D +{ +public: + typedef Type data_type; + +public: + // constructors + GData3D() : + x_(0), y_(0), z_(0) {} + GData3D(data_type val) : + x_(val), y_(val), z_(val) {} + GData3D(data_type x, data_type y, data_type z) : + x_(x), y_(y), z_(z) {} + GData3D(const GData3D& copy) : + x_(copy.x()), y_(copy.y()), z_(copy.z()) {} + + // operators + GData3D& operator =(const GData3D& rhs) + { + if (&rhs != this) + { + x_ = rhs.x(); + y_ = rhs.y(); + z_ = rhs.z(); + } + return *this; + } + GData3D& operator +=(const GData3D& rhs) + { + if (&rhs != this) + { + x_ += rhs.x(); + y_ += rhs.y(); + z_ += rhs.z(); + } + return *this; + } + GData3D& operator *=(const GData3D& rhs) + { + if (&rhs != this) + { + x_ *= rhs.x(); + y_ *= rhs.y(); + z_ *= rhs.z(); + } + return *this; + } + GData3D operator +(const GData3D& rhs) const + { + return GData3D(x_ + rhs.x(), y_ + rhs.y(), z_ + rhs.z()); + } + GData3D operator -(const GData3D& rhs) const + { + return GData3D(x_ - rhs.x(), y_ - rhs.y(), z_ - rhs.z()); + } + GData3D operator *(const GData3D& rhs) const + { + return GData3D(x_ * rhs.x(), y_ * rhs.y(), z_ * rhs.z()); + } + GData3D operator /(const GData3D& rhs) const + { + return GData3D(x_ / rhs.x(), y_ / rhs.y(), z_ / rhs.z()); + } + bool operator ==(const GData3D& rhs) const + { + return (x_ == rhs.x() && y_ == rhs.y() && z_ == rhs.z()); + } + friend GData3D operator *(const data_type lhs, const GData3D& rhs) + { + return GData3D(lhs * rhs.x(), lhs * rhs.y(), lhs * rhs.z()); + } + + // member functions + data_type x() const { return x_; } + data_type y() const { return y_; } + data_type z() const { return z_; } + void x(data_type x) { x_ = x; } + void y(data_type y) { y_ = y; } + void z(data_type z) { z_ = z; } + +private: + data_type x_, y_, z_; +}; + +/////////////////////////////////////////////////// +// commonly-used aliases +/////////////////////////////////////////////////// + typedef GData3D<GInt> GInt3D; + typedef GData3D<GBool> GBool3D; + typedef GData3D<GFloat> GFloat3D; + typedef GData3D<GDouble> GDouble3D; + typedef GData3D<GByte> GByte3D; + typedef GData3D<GWord> GWord3D; + typedef GData3D<GUInt> GDWord3D; + typedef GData3D<GShort> GShort3D; + typedef GData3D<GByte> GByte3D; +/////////////////////////////////////////////////// +//--------------------------------------------------------------------- + +inline GInt round2int(float val) +{ + val += 0.5f; + return static_cast<GInt>(val); +} +//--------------------------------------------------------------------- + +inline GByte round2byte(float val) +{ +#define BYTECLIP(x) (x > 255) ? 255 : (x < 0) ? 0 : x + val += 0.5f; + return static_cast<GByte>(BYTECLIP(val)); +#undef BYTECLIP +} +//--------------------------------------------------------------------- + +inline GByte int2byte(int val) +{ +#define BYTECLIP(x) (x > 255) ? 255 : (x < 0) ? 0 : x + return static_cast<GByte>(BYTECLIP(val)); +#undef BYTECLIP +} +//--------------------------------------------------------------------- + +template <typename Type> +inline GString type2str(Type val) +{ + std::ostringstream ss; + ss << val; + return ss.str(); +} +//--------------------------------------------------------------------- + +inline std::time_t tic() +{ + return std::time(NULL); +} +//--------------------------------------------------------------------- + +inline int toc(std::time_t tic_val) +{ + return std::time(NULL) - tic_val; +} +//--------------------------------------------------------------------- + +} // namespace type + +//========================================================================= +#endif +//========================================================================= diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gwavelift.cpp b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gwavelift.cpp new file mode 100644 index 0000000..a5588d2 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gwavelift.cpp @@ -0,0 +1,29 @@ + +//////////////////////////////////////////////////////////////////////////// +// // +// COPYRIGHT (c) 1998, 2002, VCL // +// ------------------------------ // +// Permission to use, copy, modify, distribute and sell this software // +// and its documentation for any purpose is hereby granted without fee, // +// provided that the above copyright notice appear in all copies and // +// that both that copyright notice and this permission notice appear // +// in supporting documentation. VCL makes no representations about // +// the suitability of this software for any purpose. // +// // +// DISCLAIMER: // +// ----------- // +// The code provided hereunder is provided as is without warranty // +// of any kind, either express or implied, including but not limited // +// to the implied warranties of merchantability and fitness for a // +// particular purpose. The author(s) shall in no event be liable for // +// any damages whatsoever including direct, indirect, incidental, // +// consequential, loss of business profits or special damages. // +// // +//////////////////////////////////////////////////////////////////////////// + +//========================================================================= +#include "gwavelift.h" +// template class +//========================================================================= + + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gwavelift.h b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gwavelift.h new file mode 100644 index 0000000..2868541 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gwavelift.h @@ -0,0 +1,515 @@ + +//////////////////////////////////////////////////////////////////////////// +// // +// COPYRIGHT (c) 1998, 2002, VCL // +// ------------------------------ // +// Permission to use, copy, modify, distribute and sell this software // +// and its documentation for any purpose is hereby granted without fee, // +// provided that the above copyright notice appear in all copies and // +// that both that copyright notice and this permission notice appear // +// in supporting documentation. VCL makes no representations about // +// the suitability of this software for any purpose. // +// // +// DISCLAIMER: // +// ----------- // +// The code provided hereunder is provided as is without warranty // +// of any kind, either express or implied, including but not limited // +// to the implied warranties of merchantability and fitness for a // +// particular purpose. The author(s) shall in no event be liable for // +// any damages whatsoever including direct, indirect, incidental, // +// consequential, loss of business profits or special damages. // +// // +//////////////////////////////////////////////////////////////////////////// + +//========================================================================= +#ifndef gwaveliftH +#define gwaveliftH +//========================================================================= + +#include "gtransform.h" +//========================================================================= + +#if defined(__BORLANDC__) + #pragma warn -8058 +#endif + +namespace wavlet { + +static const float ALPHA = -1.586134342f; // -1.5861343f; +static const float BETA = -0.052980118f; // -0.0529801f; +static const float GAMMA = 0.882911075f; // 0.8829111f; +static const float DELTA = 0.443506852f; // 0.4435069f; +static const float TWOALPHA = 2 * ALPHA; +static const float TWOBETA = 2 * BETA; +static const float TWOGAMMA = 2 * GAMMA; +static const float TWODELTA = 2 * DELTA; + +#if defined(GWAVELIFT_NORM_1_1) + static const float B0 = 1.0/1.23017410558578; + static const float B1 = 1.0/1.62578613134411; +#else + static const float K = 0.8698643f; // 0.8698654f + static const float KINV = 1.1496046f; // 1.1496038f; +#endif + +// +// jp2 analyze: +// lo *= 0.81289306567205 +// hi *= 0.61508705279289 +// +// dc analyze: +// lo *= 1.1496046 +// hi *= -0.8698643 +// +// jp2 synthesize: +// lo *= 1.0 / 0.81289306567205 +// hi *= 1.0 / 0.61508705279289 +// +// dc synthesize: +// lo *= -0.8698643 +// hi *= 1.1496046 +// + +template <class ListType> +class GWavelift : public GTransform<ListType> +{ +public: + typedef ListType list_type; + typedef typename list_type::buf_type buf_type; + typedef typename buf_type::size_type size_type; + typedef typename buf_type::data_type buf_data_type; + +protected: + virtual void DoTransformRows(const buf_type& Buffer, + buf_type& LBuffer, buf_type& HBuffer); + virtual void DoTransformCols(const buf_type& Buffer, + buf_type& LBuffer, buf_type& HBuffer); + + virtual void DoUntransformRows(buf_type& Buffer, + const buf_type& LBuffer, const buf_type& HBuffer); + virtual void DoUntransformCols(buf_type& Buffer, + const buf_type& LBuffer, const buf_type& HBuffer); +}; +//========================================================================= + + + +template<class ListType> +void GWavelift<ListType>::DoTransformRows( + const buf_type& Buffer, + buf_type& SBuffer, + buf_type& DBuffer + ) +{ +#define GETXVAL(p, x) *(p + (x)) +#define SETXVAL(p, x, v) *(p + (x)) = (v) + + const size_type xw = Buffer.Width(); + const size_type dw = DBuffer.Width(); + const size_type sw = SBuffer.Width(); + const size_type sh = SBuffer.Height(); + const size_type sw_minus_one = sw - 1; + + const buf_data_type* px = Buffer.Data(); + buf_data_type* pd = DBuffer.Data(); + buf_data_type* ps = SBuffer.Data(); + + register const buf_data_type* px_row; + register buf_data_type* pd_row; + register buf_data_type* ps_row; + + register size_type x; + register buf_data_type d_res0, old_d_res, d_res, X2n; + for (size_type y = 0; y < sh; ++y) + { + px_row = px + (xw * y); + pd_row = pd + (dw * y); + ps_row = ps + (sw * y); + + d_res0 = old_d_res = + GETXVAL(px_row, 1) + ALPHA * (*px_row + GETXVAL(px_row, 2)); + *pd_row = old_d_res; + for (x = 1; x < sw_minus_one; ++x) + { + X2n = GETXVAL(px_row, x << 1); + d_res = + GETXVAL(px_row, (x << 1) + 1) + + ALPHA * (X2n + GETXVAL(px_row, (x << 1) + 2)); + + SETXVAL(pd_row, x, d_res); + SETXVAL(ps_row, x, X2n + BETA * (d_res + old_d_res)); + old_d_res = d_res; + } + d_res = + GETXVAL(px_row, (sw << 1) - 1) + + TWOALPHA * GETXVAL(px_row, (sw << 1) - 2); + SETXVAL(pd_row, sw_minus_one, d_res); + *ps_row = *px_row + TWOBETA * d_res0; + SETXVAL(ps_row, sw_minus_one, + GETXVAL(px_row, sw_minus_one << 1) + + BETA * (d_res + old_d_res) + ); + + d_res0 = old_d_res = + *pd_row + GAMMA * (*ps_row + GETXVAL(ps_row, 1)); + *pd_row = old_d_res; + for (x = 1; x < sw_minus_one; ++x) + { + d_res = + GETXVAL(pd_row, x) + GAMMA * ( + GETXVAL(ps_row, x) + GETXVAL(ps_row, x + 1) + ); + SETXVAL(pd_row, x, d_res); + SBuffer.IncPixels(x, y, DELTA * (d_res + old_d_res)); + old_d_res = d_res; + } + d_res = + GETXVAL(pd_row, sw_minus_one) + + TWOGAMMA * GETXVAL(ps_row, sw_minus_one); + SETXVAL(pd_row, sw_minus_one, d_res); + SBuffer.IncPixels( + 0, y, TWODELTA * d_res0 + ); + SBuffer.IncPixels( + sw_minus_one, y, DELTA * (d_res + old_d_res) + ); + } + +#if defined(GWAVELIFT_NORM_1_1) + SBuffer *= B0; + DBuffer *= B1; +#else + SBuffer *= KINV; + DBuffer *= -K; +#endif + +#undef SETXVAL +#undef GETXVAL +} +//------------------------------------------------------------------------- + +template<class ListType> +void GWavelift<ListType>::DoTransformCols( + const buf_type& Buffer, + buf_type& SBuffer, + buf_type& DBuffer + ) +{ +#define GETYVAL(p, w, y) *(p + (w * (y))) +#define SETYVAL(p, w, y, v) *(p + (w * (y))) = (v) + + const size_type xw = Buffer.Width(); + const size_type dw = DBuffer.Width(); + const size_type sw = SBuffer.Width(); + const size_type sh = SBuffer.Height(); + const size_type sh_minus_one = sh - 1; + + const buf_data_type* px = Buffer.Data(); + buf_data_type* pd = DBuffer.Data(); + buf_data_type* ps = SBuffer.Data(); + + const buf_data_type* px_col; + buf_data_type* pd_col; + buf_data_type* ps_col; + + register size_type y; + register size_type ysave0, ysave1; + register buf_data_type d_res0, old_d_res, d_res, X2n; + for (size_type x = 0; x < sw; ++x) + { + px_col = px + x; + pd_col = pd + x; + ps_col = ps + x; + + d_res0 = old_d_res = + GETYVAL(px_col, xw, 1) + ALPHA * ( + *px_col + GETYVAL(px_col, xw, 2) + ); + *pd_col = old_d_res; + for (y = 1; y < sh_minus_one; ++y) + { + ysave0 = xw * (y << 1); + ysave1 = dw * y; + + X2n = *(px_col + ysave0); + d_res = + *(px_col + ysave0 + xw) + + ALPHA * (X2n + *(px_col + ysave0 + xw + xw)); + + *(pd_col + ysave1) = d_res; + *(ps_col + ysave1) = X2n + BETA * (d_res + old_d_res); + old_d_res = d_res; + } + d_res = + GETYVAL(px_col, xw, (sh << 1) - 1) + + TWOALPHA * GETYVAL(px_col, xw, (sh << 1) - 2); + SETYVAL(pd_col, dw, sh_minus_one, d_res); + *ps_col = *px_col + TWOBETA * d_res0; + SETYVAL(ps_col, sw, sh_minus_one, + GETYVAL(px_col, xw, sh_minus_one << 1) + + BETA * (d_res + old_d_res) + ); + + d_res0 = old_d_res = + *pd_col + GAMMA * (*ps_col + GETYVAL(ps_col, sw, 1)); + *pd_col = old_d_res; + for (y = 1; y < sh_minus_one; ++y) + { + ysave0 = dw * y; + d_res = *(pd_col + ysave0) + GAMMA * ( + *(ps_col + ysave0) + *(ps_col + ysave0 + sw) + ); + *(pd_col + ysave0) = d_res; + SBuffer.IncPixels(x, y, DELTA * (d_res + old_d_res)); + old_d_res = d_res; + } + d_res = + GETYVAL(pd_col, dw, sh_minus_one) + + TWOGAMMA * GETYVAL(ps_col, sw, sh_minus_one); + SETYVAL(pd_col, dw, sh_minus_one, d_res); + SBuffer.IncPixels(x, 0, TWODELTA * d_res0); + SBuffer.IncPixels( + x, sh_minus_one, DELTA * (d_res + old_d_res) + ); + } + +#if defined(GWAVELIFT_NORM_1_1) + SBuffer *= B0; + DBuffer *= B1; +#else + SBuffer *= KINV; + DBuffer *= -K; +#endif + +#undef SETYVAL +#undef GETYVAL +} +//------------------------------------------------------------------------- + +template<class ListType> +void GWavelift<ListType>::DoUntransformCols( + buf_type& Buffer, + const buf_type& SBuffer, + const buf_type& DBuffer + ) +{ +#define GETYVAL(p, w, y) *(p + (w * (y))) +#define SETYVAL(p, w, y, v) *(p + (w * (y))) = (v) + + // + // NOTE: all widths are the same while Buffer's + // height is 2x that of SBuffer and DBuffer + // + const size_type xw = Buffer.Width(); + const size_type dw = DBuffer.Width(); + const size_type sw = SBuffer.Width(); + const size_type sh = SBuffer.Height(); + const size_type sh_minus_one = sh - 1; + + buf_data_type* px = Buffer.Data(); + const buf_data_type* pd = DBuffer.Data(); + const buf_data_type* ps = SBuffer.Data(); + + buf_data_type* px_col; + const buf_data_type* pd_col; + const buf_data_type* ps_col; + + // for inline storage, create "mutable" references + buf_type& SBufferMut = const_cast<buf_type&>(SBuffer); + buf_type& DBufferMut = const_cast<buf_type&>(DBuffer); + // +#if defined(GWAVELIFT_NORM_1_1) + SBufferMut /= B0; + DBufferMut /= B1; +#else + SBufferMut *= K; + DBufferMut *= -KINV; +#endif + + register size_type y; + register size_type ysave0; + register buf_data_type s_res, d_res, d_res0, d_res_last; + for (size_type x = 0; x < sw; ++x) + { + px_col = px + x; + pd_col = pd + x; + ps_col = ps + x; + + SBufferMut.DecPixels(x, 0, TWODELTA * (*pd_col)); + for (y = 1; y < sh; ++y) + { + ysave0 = dw * y; + SBufferMut.DecPixels(x, y, DELTA * ( + *(pd_col + ysave0) + *(pd_col + ysave0 - dw) + )); + } + + d_res0 = d_res_last = + *pd_col - GAMMA * (*ps_col + GETYVAL(ps_col, sw, 1)); + *(const_cast<buf_data_type*>(pd_col)) = d_res_last; + for (y = 1; y < sh_minus_one; ++y) + { + ysave0 = sw * y; + + s_res = *(ps_col + ysave0); + d_res = *(pd_col + ysave0) - + GAMMA * (s_res + *(ps_col + ysave0 + sw)); + + *(const_cast<buf_data_type*>(pd_col) + ysave0) = d_res; + SETYVAL( + px_col, xw, y << 1, s_res - BETA * (d_res + d_res_last) + ); + d_res_last = d_res; + } + d_res = + GETYVAL(pd_col, dw, sh_minus_one) - + TWOGAMMA * GETYVAL(ps_col, sw, sh_minus_one); + SETYVAL( + const_cast<buf_data_type*>(pd_col), dw, sh_minus_one, d_res + ); + *px_col = *ps_col - TWOBETA * d_res0; + SETYVAL(px_col, xw, sh_minus_one << 1, + GETYVAL(ps_col, sw, sh_minus_one) - + BETA * (d_res + d_res_last) + ); + + for (y = 0; y < sh_minus_one; ++y) + { + ysave0 = xw * (y << 1); + *(px_col + ysave0 + xw) = + GETYVAL(pd_col, dw, y) - ALPHA * ( + *(px_col + ysave0) + *(px_col + ysave0 + xw + xw) + ); + } + SETYVAL(px_col, xw, (sh << 1) - 1, + GETYVAL(pd_col, dw, sh_minus_one) - + TWOALPHA * GETYVAL(px_col, xw, (sh << 1) - 2) + ); + } + +#undef SETYVAL +#undef GETYVAL +} +//------------------------------------------------------------------------- + +template<class ListType> +void GWavelift<ListType>::DoUntransformRows( + buf_type& Buffer, + const buf_type& SBuffer, + const buf_type& DBuffer + ) +{ +#define GETXVAL(p, x) *(p + (x)) +#define SETXVAL(p, x, v) *(p + (x)) = (v) + + // + // NOTE: widths and heights are the same + // + const size_type xw = Buffer.Width(); + const size_type dw = DBuffer.Width(); + const size_type sw = SBuffer.Width(); + const size_type sh = SBuffer.Height(); + const size_type sw_minus_one = sw - 1; + + buf_data_type* px = Buffer.Data(); + const buf_data_type* pd = DBuffer.Data(); + const buf_data_type* ps = SBuffer.Data(); + + buf_data_type* px_row; + const buf_data_type* pd_row; + const buf_data_type* ps_row; + + // for inline storage, create "mutable" references + buf_type& SBufferMut = const_cast<buf_type&>(SBuffer); + buf_type& DBufferMut = const_cast<buf_type&>(DBuffer); + // +#if defined(GWAVELIFT_NORM_1_1) + SBufferMut /= B0; + DBufferMut /= B1; +#else + SBufferMut *= K; + DBufferMut *= -KINV; +#endif + + register size_type x; + register buf_data_type s_res, d_res, old_d_res, d_res0; + for (size_type y = 0; y < sh; ++y) + { + px_row = px + (xw * y); + pd_row = pd + (dw * y); + ps_row = ps + (sw * y); + + SBufferMut.DecPixels(0, y, TWODELTA * (*pd_row)); + for (x = 1; x < sw; ++x) + { + SBufferMut.DecPixels(x, y, DELTA * ( + GETXVAL(pd_row, x) + GETXVAL(pd_row, x - 1) + )); + } + + d_res0 = old_d_res = + *pd_row - GAMMA * ((*ps_row) + GETXVAL(ps_row, 1)); + *(const_cast<buf_data_type*>(pd_row)) = old_d_res; + for (x = 1; x < sw_minus_one; ++x) + { + s_res = GETXVAL(ps_row, x); + d_res = + GETXVAL(pd_row, x) - + GAMMA * (s_res + GETXVAL(ps_row, x + 1)); + + SETXVAL(const_cast<buf_data_type*>(pd_row), x, d_res); + SETXVAL(px_row, x << 1, s_res - BETA * (d_res + old_d_res)); + old_d_res = d_res; + } + d_res = + GETXVAL(pd_row, sw_minus_one) - + TWOGAMMA * GETXVAL(ps_row, sw_minus_one); + SETXVAL(const_cast<buf_data_type*>(pd_row), sw_minus_one, d_res); + *px_row = *ps_row - TWOBETA * d_res0; + SETXVAL(px_row, sw_minus_one << 1, + GETXVAL(ps_row, sw_minus_one) - BETA * (d_res + old_d_res) + ); + + for (x = 0; x < sw_minus_one; ++x) + { + SETXVAL(px_row, (x << 1) + 1, + GETXVAL(pd_row, x) - ALPHA * ( + GETXVAL(px_row, x << 1) + + GETXVAL(px_row, (x << 1) + 2) + ) + ); + } + SETXVAL(px_row, (sw << 1) - 1, + GETXVAL(pd_row, sw_minus_one) - + TWOALPHA * GETXVAL(px_row, (sw << 1) - 2) + ); + } + +#undef SETXVAL +#undef GETXVAL +} +//------------------------------------------------------------------------- + +//////////////////////////////////////////////////////////// +// commonly-used aliases +//////////////////////////////////////////////////////////// + typedef GWavelift<buf::GFloatWaveList> GFloatWavelift; + typedef GWavelift<buf::GDoubleWaveList> GDoubleWavelift; + typedef GWavelift<buf::GByteWaveList> GByteWavelift; + typedef GWavelift<buf::GIntWaveList> GIntWavelift; + typedef GWavelift<buf::GDWordWaveList> GDWordWavelift; + typedef GWavelift<buf::GShortWaveList> GShortWavelift; + typedef GWavelift<buf::GWordWaveList> GWordWavelift; + typedef GWavelift<buf::GBoolWaveList> GBoolWavelift; +//////////////////////////////////////////////////////////// + +} // namespace wavlet + +#if defined(__BORLANDC__) + #pragma warn .8058 +#endif + +//========================================================================= +#endif // gwavelift +//========================================================================= + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gwavelist.cpp b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gwavelist.cpp new file mode 100644 index 0000000..e2ba182 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gwavelist.cpp @@ -0,0 +1,28 @@ + +//////////////////////////////////////////////////////////////////////////// +// // +// COPYRIGHT (c) 1998, 2002, VCL // +// ------------------------------ // +// Permission to use, copy, modify, distribute and sell this software // +// and its documentation for any purpose is hereby granted without fee, // +// provided that the above copyright notice appear in all copies and // +// that both that copyright notice and this permission notice appear // +// in supporting documentation. VCL makes no representations about // +// the suitability of this software for any purpose. // +// // +// DISCLAIMER: // +// ----------- // +// The code provided hereunder is provided as is without warranty // +// of any kind, either express or implied, including but not limited // +// to the implied warranties of merchantability and fitness for a // +// particular purpose. The author(s) shall in no event be liable for // +// any damages whatsoever including direct, indirect, incidental, // +// consequential, loss of business profits or special damages. // +// // +//////////////////////////////////////////////////////////////////////////// + +//========================================================================= +#include "gwavelist.h" +// template class +//========================================================================= + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gwavelist.h b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gwavelist.h new file mode 100644 index 0000000..d8278bc --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/ginclude/gwavelist.h @@ -0,0 +1,434 @@ + +//////////////////////////////////////////////////////////////////////////// +// // +// COPYRIGHT (c) 1998, 2002, VCL // +// ------------------------------ // +// Permission to use, copy, modify, distribute and sell this software // +// and its documentation for any purpose is hereby granted without fee, // +// provided that the above copyright notice appear in all copies and // +// that both that copyright notice and this permission notice appear // +// in supporting documentation. VCL makes no representations about // +// the suitability of this software for any purpose. // +// // +// DISCLAIMER: // +// ----------- // +// The code provided hereunder is provided as is without warranty // +// of any kind, either express or implied, including but not limited // +// to the implied warranties of merchantability and fitness for a // +// particular purpose. The author(s) shall in no event be liable for // +// any damages whatsoever including direct, indirect, incidental, // +// consequential, loss of business profits or special damages. // +// // +//////////////////////////////////////////////////////////////////////////// + +//========================================================================= +#ifndef gwavelistH +#define gwavelistH +//========================================================================= + +//#if defined(_MSC_VER) +// #include <cmath> +//#else +// #include <math.h> +//#endif +#include "gbufferlist.h" +#include "gstepsizes.h" +//========================================================================= + +#if defined(__BORLANDC__) + #pragma warn -8027 +#endif + +namespace buf { + +template <class BufferType> +class GWaveList : public GBufferList<BufferType> +{ +public: + typedef BufferType buf_type; + typedef typename buf_type::data_type buf_data_type; + typedef typename GBufferList<buf_type>::size_type size_type; + typedef unsigned char index_type; + typedef std::runtime_error except_type; + + // default constructor + GWaveList() : GBufferList<buf_type>(), padX_(0), padY_(0) {} + // constuctor for specifying the source image + GWaveList(buf_type const& SrcImage) : padX_(0), padY_(0) + { + Image(SrcImage); + } + // constuctor for specifying the source image dimensions + GWaveList(size_type cx, size_type cy) : padX_(0), padY_(0) + { + Image(cx, cy); + } + // copy constructor + GWaveList(GWaveList<buf_type> const& copy) + : GBufferList<buf_type>(copy), padX_(copy.PadX()), + padY_(copy.PadY()) {} + // assignment operator + GWaveList<buf_type>& operator =(GWaveList<buf_type> const& rhs) + { + GBufferList<buf_type>::operator=(rhs); + padX_ = rhs.PadX(); + padY_ = rhs.PadY(); + } + // parenthesis operator (band access) + buf_type const& operator ()(index_type scale_index, + index_type orient_index) const + { + return Band(scale_index, orient_index); + } + buf_type& operator ()(index_type scale_index, + index_type orient_index) + { + return Band(scale_index, orient_index); + } + + // copies only the subbands required for reconstruction + void Assign(const GWaveList<buf_type>& copy) + { + if (this->Count() != copy.Count()) + { + // punt to the assignment operator + *this = copy; + } + else + { + // + // copy only the 2-D AC subbands and + // the highest-level 2-D LL subband + // + index_type const num_scales = NumScales(); + LL(num_scales) = copy.LL(num_scales); + for (index_type index = 1; index <= num_scales; ++index) + { + LH(index) = copy.LH(index); + HL(index) = copy.HL(index); + HH(index) = copy.HH(index); + } + } + } + + void Quantize(const GStepSizes<buf_data_type>& Steps) + { + index_type const num_scales = NumScales(); + LL(num_scales).Quantize(Steps.LL()); + for (index_type iScale = 1; iScale <= num_scales; ++iScale) + { + LH(iScale).Quantize(Steps.LH(iScale)); + HL(iScale).Quantize(Steps.HL(iScale)); + HH(iScale).Quantize(Steps.HH(iScale)); + } + } + void QuantizeInt(const GStepSizes<buf_data_type>& Steps) + { + index_type const num_scales = NumScales(); + LL(num_scales).QuantizeInt(Steps.LL()); + for (index_type iScale = 1; iScale <= num_scales; ++iScale) + { + LH(iScale).QuantizeInt(Steps.LH(iScale)); + HL(iScale).QuantizeInt(Steps.HL(iScale)); + HH(iScale).QuantizeInt(Steps.HH(iScale)); + } + } + void DeQuantizeInt(const GStepSizes<buf_data_type>& Steps) + { + index_type const num_scales = NumScales(); + LL(num_scales).DeQuantizeInt(Steps.LL()); + for (index_type iScale = 1; iScale <= num_scales; ++iScale) + { + LH(iScale).DeQuantizeInt(Steps.LH(iScale)); + HL(iScale).DeQuantizeInt(Steps.HL(iScale)); + HH(iScale).DeQuantizeInt(Steps.HH(iScale)); + } + } + void QuantizeDZ(const GStepSizes<buf_data_type>& Steps) + { + index_type const num_scales = NumScales(); + LL(num_scales).QuantizeDZ(Steps.LL()); + for (index_type iScale = 1; iScale <= num_scales; ++iScale) + { + LH(iScale).QuantizeDZ(Steps.LH(iScale)); + HL(iScale).QuantizeDZ(Steps.HL(iScale)); + HH(iScale).QuantizeDZ(Steps.HH(iScale)); + } + } + void QuantizeDZInt(const GStepSizes<buf_data_type>& Steps) + { + index_type const num_scales = NumScales(); + LL(num_scales).QuantizeDZInt(Steps.LL()); + for (index_type iScale = 1; iScale <= num_scales; ++iScale) + { + LH(iScale).QuantizeDZInt(Steps.LH(iScale)); + HL(iScale).QuantizeDZInt(Steps.HL(iScale)); + HH(iScale).QuantizeDZInt(Steps.HH(iScale)); + } + } + void DeQuantizeDZInt(const GStepSizes<buf_data_type>& Steps) + { + index_type const num_scales = NumScales(); + LL(num_scales).DeQuantizeDZInt(Steps.LL()); + for (index_type iScale = 1; iScale <= num_scales; ++iScale) + { + LH(iScale).DeQuantizeDZInt(Steps.LH(iScale)); + HL(iScale).DeQuantizeDZInt(Steps.HL(iScale)); + HH(iScale).DeQuantizeDZInt(Steps.HH(iScale)); + } + } + + index_type NumScales() const + { + return static_cast<index_type>(0.5 + (Count() - 1) / 6.0); + } + index_type NumBands() const + { + return static_cast<index_type>(1.5 + 3.0 * NumScales()); + } + buf_type const& Image() const + { + return LL(0); + } + void Image(buf_type const& NewImage) + { + if (Count() <= 0) + { + Add(NewImage); + } + else Items(0) = NewImage; + } + void Image(size_type cx, size_type cy) + { + Add(buf_type(cx, cy)); + } + + buf_type const& LL(index_type scale_index) const + { + return Items(scale_index * 6); + } + buf_type const& LH(index_type scale_index) const + { + return Items((scale_index * 6) - 1); + } + buf_type const& HL(index_type scale_index) const + { + return Items((scale_index * 6) - 2); + } + buf_type const& HH(index_type scale_index) const + { + return Items((scale_index * 6) - 3); + } + buf_type const& H(index_type scale_index) const + { + return Items((scale_index * 6) - 4); + } + buf_type const& L(index_type scale_index) const + { + return Items((scale_index * 6) - 5); + } + buf_type const& Band(index_type scale_index, + index_type orient_index) const + { + switch (orient_index) + { + case 0: return LH(scale_index); + case 1: return HL(scale_index); + case 2: return HH(scale_index); + } + } + + buf_type& Image() + { + return LL(0); + } + buf_type& LL(index_type scale_index) + { + return Items(scale_index * 6); + } + buf_type& LH(index_type scale_index) + { + return Items((scale_index * 6) - 1); + } + buf_type& HL(index_type scale_index) + { + return Items((scale_index * 6) - 2); + } + buf_type& HH(index_type scale_index) + { + return Items((scale_index * 6) - 3); + } + buf_type& H(index_type scale_index) + { + return Items((scale_index * 6) - 4); + } + buf_type& L(index_type scale_index) + { + return Items((scale_index * 6) - 5); + } + buf_type& Band(index_type scale_index, + index_type orient_index) + { + switch (orient_index) + { + case 0: return LH(scale_index); + case 1: return HL(scale_index); + case 2: return HH(scale_index); + } + throw except_type("Invalid subband index"); + } + + size_type PadX() const { return padX_; } + size_type PadY() const { return padY_; } + void AddPadding(index_type num_scales) + { + buf_type& SrcImage = Image(); + size_type const cx = SrcImage.Width(); + size_type const cy = SrcImage.Height(); + + // ensure that we always have an even-sized subband + size_type const step = static_cast<size_type>( + 0.5 + std::pow(2.0, num_scales) + ); + padX_ = (cx % step != 0) ? step - (cx % step) : 0; + padY_ = (cy == 1) ? 0 : + ((cy % step != 0) ? step - (cy % step) : 0); + if (padX_ != 0 || padY_ != 0) + { + SrcImage.Resize(cx + padX_, cy + padY_, buf_type::rt_copy); + } + } + void RemovePadding() + { + // remove the padding that was added to the image + buf_type& RecImage = Image(); + RecImage.Resize( + RecImage.Width() - padX_, RecImage.Height() - padY_, + buf_type::rt_copy + ); + } + void AllocBands(index_type num_scales) + { + // no-op if we already have the memory + if (CanRecycleBands(num_scales)) + { + return; + } + + // clear all bands except LL(0) + size_type count = Count(); + for (size_type index = count - 1; index > 0; --index) + { + Delete(index); + } + + buf_type const& SrcImage = Image(); + size_type const cx = SrcImage.Width(); + size_type cy = SrcImage.Height(); + size_type half_cx = cx >> 1; + size_type half_cy = cy >> 1; + + // add the required subbands to the list + Reserve(static_cast<size_type>(1.5 + 3.0 * num_scales)); + for (index_type iLevel = 1; iLevel <= num_scales; ++iLevel) + { + // make room for the L and H subbands + Add(half_cx, cy); + Add(half_cx, cy); + + if (cy > 1) + { + // make room for the HH, HL, HL, and LL subbands + Add(half_cx, half_cy); + Add(half_cx, half_cy); + Add(half_cx, half_cy); + Add(half_cx, half_cy); + + // divide the dimensions by 2 for the next scale + cy >>= 1; half_cx >>= 1; half_cy >>= 1; + } + else + { + // make placeholders for the HH, HL, HL, and LL subbands + Add(0, 0); + Add(0, 0); + Add(0, 0); + Add(0, 0); + + // divide the horz. dimension by 2 for the next scale + half_cx >>= 1; + } + } + } + +private: + bool CanRecycleBands(index_type num_scales) + { + if (num_scales != NumScales()) + { + return false; + } + + buf_type const& SrcImage = Image(); + size_type const cx = SrcImage.Width(); + size_type cy = SrcImage.Height(); + size_type half_cx = cx >> 1; + size_type half_cy = cy >> 1; + + for (index_type iScale = 1; iScale <= num_scales; ++iScale) + { + if (L(iScale).Height() != cy) return false; + if (H(iScale).Height() != cy) return false; + if (L(iScale).Width() != half_cx) return false; + if (H(iScale).Width() != half_cx) return false; + if (cy > 1) + { + if (HH(iScale).Width() != half_cx) return false; + if (HL(iScale).Width() != half_cx) return false; + if (LH(iScale).Width() != half_cx) return false; + if (LL(iScale).Width() != half_cx) return false; + if (HH(iScale).Height() != half_cy) return false; + if (HL(iScale).Height() != half_cy) return false; + if (LH(iScale).Height() != half_cy) return false; + if (LL(iScale).Height() != half_cy) return false; + + // divide the dimensions by 2 for the next scale + cy >>= 1; half_cx >>= 1; half_cy >>= 1; + } + else + { + // divide the horz. dimensions by 2 for the next scale + half_cx >>= 1; + } + } + return true; + } + +private: + size_type padX_; + size_type padY_; +}; +//------------------------------------------------------------------------- + +////////////////////////////////////////////////////////// +// commonly-used aliases +////////////////////////////////////////////////////////// + typedef GWaveList<GFloatBuffer> GFloatWaveList; + typedef GWaveList<GDoubleBuffer> GDoubleWaveList; + typedef GWaveList<GByteBuffer> GByteWaveList; + typedef GWaveList<GIntBuffer> GIntWaveList; + typedef GWaveList<GDWordBuffer> GDWordWaveList; + typedef GWaveList<GShortBuffer> GShortWaveList; + typedef GWaveList<GWordBuffer> GWordWaveList; + typedef GWaveList<GBoolBuffer> GBoolWaveList; +////////////////////////////////////////////////////////// + +} // namespace buf + +#if defined(__BORLANDC__) + #pragma warn .8027 +#endif + +//========================================================================= +#endif // gwavelistH +//========================================================================= diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/imdwt.cpp b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/imdwt.cpp new file mode 100644 index 0000000..5229617 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_cpp/imdwt.cpp @@ -0,0 +1,95 @@ + +#define GBUFFER_NO_RANGE_CHECK + +#include <mex.h> +#include "ginclude/gwavelift.h" +#if defined(_MSC_VER) && (_MSC_VER <= 1200) + namespace std { + using ::atoi; + using ::atof; + using ::FILE; + using ::fread; + using ::fwrite; + using ::fclose; + } +#endif +#pragma warning(disable:4244) + +typedef buf::GFloatBuffer band_type; +typedef buf::GFloatWaveList bands_type; +typedef wavlet::GFloatWavelift wave_type; +typedef band_type::data_type data_type; +typedef band_type::size_type size_type; +//--------------------------------------------------------------------------- + +void mexFunction( + int nlhs, + mxArray *plhs[], + int nrhs, + const mxArray *prhs[] + ) +{ + if (nlhs != 1) + { + mexErrMsgTxt("Invalid number of output arguments."); + } + if (nrhs < 1) + { + mexErrMsgTxt("Invalid number of input arguments."); + } + + // get vector of evaluation points + double* p_img = mxGetPr(prhs[0]); + size_type const cy = mxGetN(prhs[0]); + size_type const cx = mxGetM(prhs[0]); + + // get number of DWT levels + int const num_levels = (nrhs > 1) ? mxGetScalar(prhs[1]) : 5; + + // load the source image + bands_type bands(cx, cy); + size_type size = bands.Image().Size(); + data_type* p_img_cpp = bands.Image().Data(); + for (size_type idx = 0; idx < size; ++idx) + { + *p_img_cpp++ = *p_img++; + } + + // perform the forward DWT + wave_type().Decompose(bands, num_levels); + +// mexPrintf("mean = %f\n", bands.Image().Mean()); +// mexPrintf("cx = %d, cy = %d\n", cx, cy); +// mexPrintf("num_levels = %d\n", num_levels); + + // allocate memory and assign output pointer + int idx = 0; + mxArray* p_cell_mx = mxCreateCellMatrix(num_levels, 1); + for (int s = 1; s <= num_levels; ++s) + { + int const num_orients = (s == num_levels) ? 4 : 3; + mxArray* p_cell_orient_mx = + mxCreateCellMatrix(num_orients, 1); + mxSetCell(p_cell_mx, s - 1, p_cell_orient_mx); + + for (int o = 0; o < num_orients; ++o) + { + band_type const& band = (o < 3) ? + bands(s, o) : bands.LL(num_levels); + mxArray* p_band_mx = + mxCreateDoubleMatrix(band.Width(), band.Height(), mxREAL); + mxSetCell(p_cell_orient_mx, o, p_band_mx); + + double* p_band = mxGetPr(p_band_mx); + data_type const* p_band_cpp = band.Data(); + int const band_size = band.Size(); + for (int idx_band = 0; idx_band < band_size; ++idx_band) + { + *p_band++ = *p_band_cpp++; + } + } + } + plhs[0] = p_cell_mx; +} +//--------------------------------------------------------------------------- + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_modified.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_modified.m new file mode 100644 index 0000000..e502306 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/imdwt_modified.m @@ -0,0 +1,80 @@ +%%%MM%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%%MM%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%%MM%%% IMDWT, Modified Version +%%%MM%%% +%%%MM%%% The author of this modified version is with the Visual +%%%MM%%% Communications Laboratory, in department of Electrical and +%%%MM%%% Computer Engineering at Cornell University. The original +%%%MM%%% code was written by Damon Chandler at Cornell University. All of +%%%MM%%% the information and documentation provided with the original +%%%MM%%% code is included below. For more information, see the following +%%%MM%%% website: +%%%MM%%% +%%%MM%%% http://foulard.ece.cornell.edu/dmc27/vsnr/vsnr.html +%%%MM%%% +%%%MM%%% This version of a two-dimensional 9/7 wavelet decomposition will +%%%MM%%% be invoked if the "compile_metric_vsnr" command cannot +%%%MM%%% successfully build a MEX version of the function. Currently, +%%%MM%%% MEX support is only provided for Windows-based platforms. +%%%MM%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%%MM%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%%MM%% Author: Matthew Gaubatz +%%%MM%% Version: 1.0 +%%%MM%% Date: 01/05/2007 +%%%MM%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%%MM%% Copyright (c) 2007 Visual Communications Lab, Cornell University +%%%MM%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%%MM%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +function [bands] = imdwt(img, nlevels) +%IMDWT Forward discrete wavelet transform of an image. +% [BANDS] = IMDWT(IMG, NLEVELS) returns the subbands of a discrete +% wavelet transform of the image IMG using the 9/7 biorthogonal +% filters. The number of decomposition levels is specified via the +% parameter NLEVELS (default = 5). +%%%MM%%% +%%%MM%%% [BEGIN CHANGE] +%%%MM%%% +%%%MM%%% only the instructions remain the same in this routine; while the +%%%MM%%% original 'imdwt.m' routine simply returned an error indicating +%%%MM%%% that the MEX file should be built, this version simply +%%%MM%%% computes a 5-level 9/7 wavelet transform +%%%MM%%% + +%%%MM%%% +%%%MM%%% compute transform +%%%MM%%% +img = dwt2d(img, nlevels); + +%%%MM%%% +%%%MM%%% save bands as objects +%%%MM%%% +[H,W] = size(img); +bands = cell(5,1); +scale_cell = cell(3,1); + +for scale = 1:nlevels + + scale_cell{1} = img( 1:H/2, W/2+1:W ); + scale_cell{2} = img( H/2+1:H, 1:W/2 ); + scale_cell{3} = img( H/2+1:H, W/2+1:W ); + H = H / 2; + W = W / 2; + + bands{scale} = scale_cell; + +end + +scale_cell{4} = img( 1:H, 1:W ); +bands{nlevels} = scale_cell; + + +%%%MM%%% +%%%MM%%% comment out previous error message +%%%MM%%% +%%%MM%%% s = 'Please compile the mex version of this function.'; +%%%MM%%% s = strcat(s, ' See the file "imdwt_cpp/compile_imdwt.m" for info.'); +%%%MM%%% error(s); + +%%%MM%%% +%%%MM%%% [END CHANGE] +%%%MM%%% diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/readme.txt b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/readme.txt new file mode 100644 index 0000000..004f2ab --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/readme.txt @@ -0,0 +1,28 @@ + +This package contains a beta MATLAB version of the VSNR function from +the paper "VSNR: A Wavelet-Based Visual Signal-to-Noise Ratio for +Natural Images," D. M. Chandler and S. S. Hemami, published in the IEEE +Transactions on Image Processing, September 2007. + +The included files are as follows: + +o The function vsnr.m contains the source code of the VSNR() function. + +o The script vsnr_demo.m demonstrates how to compute the VSNR for the +provided demo images (horse.bmp, horse.JP2.bmp, and horse.NOZ.bmp). + +o The file imdwt.dll is a Windows mex file version of the function +IMDWT(), which performs the forward discrete wavelet transform. If +this this mex file does not work with your version of MATLAB, please +run the script compile_imdwt.m in the imdwt_cpp directory to create a +compatible mex file from the provided C++ source code. + +o The directory imdwt_cpp contains the C++ source code for the IMDWT() +function. The IMDWT() function is required by VSNR() to compute the +DWTs of the images. + +Please contact Damon at damon.chandler@okstate.edu for questions and +other inquiries. + +Cheers, +Damon diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/vsnr.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/vsnr.m new file mode 100644 index 0000000..6537911 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/vsnr.m @@ -0,0 +1,309 @@ +function [res] = vsnr(src_img, dst_img, alpha, viewing_params) +%VSNR Visual signal-to-noise ratio for digital images. +% [RES] = VSNR(SRC_IMG, DST_IMG) returns the visual signal-to-noise +% ratio for the distorted image DST_IMG relative to the original +% image SRC_IMG. The result is in dB in the range 0 - Inf. If the +% parameter SRC_IMG = -1, then data regarding the orignal image and +% viewing conditions will be recycled from the previous call to VSNR +% (see "Cache Option" below). +% +% [RES] = VSNR(SRC_IMG, DST_IMG, ALPHA) allows for the additional +% specification of the linear combination weight ALPHA (in the range +% [0, 1]) which specifies the relative contributions of perceived +% distortion contrast and disruption of global precedence toward the +% total visual distortion. By default, ALPHA = 0.04 (which uses 4% +% contribution from perceived distortion contrast, and 96% +% contribution from disruption of global precedence). Specifying a +% value of ALPHA = -1 will use the default (ALPHA = 0.04). +% +% [RES] = VSNR(SRC_IMG, DST_IMG, ALPHA, VIEWING_PARAMS) allows for +% additional specification of the viewing conditions and DWT options. +% The structure VIEWING_PARAMS contains the following data members +% which must be set prior to passing the structure to the VSNR +% function: +% +% VIEWING_PARAMS.b = display device black-level offset +% (default = 0, for 8-bit sRGB) +% VIEWING_PARAMS.k = display device pixel-value-to-voltage gain +% (default = 0.02874, for 8-bit sRGB) +% VIEWING_PARAMS.g = display device pixel-value-to-voltage gain +% (default = 2.2, for 8-bit sRGB) +% VIEWING_PARAMS.r = display device resolution (pixels/inch) +% (default = 96) +% VIEWING_PARAMS.v = viewing distance (inches) +% (default = 19.1) +% VIEWING_PARAMS.num_levels = number of DWT levels +% (default = 5) +% VIEWING_PARAMS.filter_gains = DWT filter gains (may be all ones) +% (default = 2.^[1:num_levels]) +% +% Specifying a value of VIEWING_PARAMS = -1 will use the default +% initialization of VIEWING_PARAMS. +% +% *** Cache Option *** +% [RES] = VSNR(-1, DST_IMG) or [RES] = VSNR(-1, DST_IMG, ALPHA) +% informs the VSNR function that data corresponding to viewing +% conditions and analysis of the original image should not be +% computed; rather, these data should be reused from the previous +% call to VSNR. This option is useful for measuring the VSNRs of +% various distorted versions of a single original image viewed under +% the same viewing conditions. Call VSNR(-1) [i.e., with only a +% single parameter of -1] to just clear the cache (no-op otherwise). +% +% Requires function imdwt to perform the forward DWT of the images. +% (See 'imdwt_cpp/compile_imdwt.m' for information on compiling a +% max shared library from 'imdwt_cpp/imdwt.cpp'.) + +% Author: D. M. Chander +% Copyright 1998-2007 Image Coding and Analysis Lab, Oklahoma State +% University, Stillwater, OK 74078 USA. +% $Revision: BETA 1.02.0.0 $ $Date: 2007/10/04/ 15:00:00 $ + +% this global variable is used by all subfunctions +% and is later cleared by vsnr() before returning +global vsnr_data; + +if (nargin == 1 & src_img == -1) + clear global vsnr_data; + res = -1; + return; +end + +if (nargin > 3 & src_img == -1) + s = 'Ignoring specified viewing parameters under cache option.'; + s = strcat(s, ' Using cached parameters instead.'); + warning(s); +end + +% default alpha +if (nargin < 3 | alpha == -1) + alpha = 0.04; +end + +if (src_img ~= -1) + % default viewing parameters and DWT options + if (nargin < 4 | ~isstruct(viewing_params)) + ok = 1 + % display device black-level offset (sRGB) + vsnr_data.b = 0; + % display device pixel-value-to-voltage gain (sRGB) + vsnr_data.k = 0.02874; + % display device gamma (sRGB) + vsnr_data.g = 2.2; + % display device resolution (pixels/inch) + vsnr_data.r = 96; + % viewing distance (inches) + vsnr_data.v = 19.1; + % number of DWT levels + vsnr_data.num_levels = 5; + % DWT filter gains (typically either as below, or all ones) + vsnr_data.filter_gains = 2.^[1:vsnr_data.num_levels]; + else + if (isfield(viewing_params, 'b')) + vsnr_data.b = viewing_params.b; + end + if (isfield(viewing_params, 'k')) + vsnr_data.k = viewing_params.k; + end + if (isfield(viewing_params, 'g')) + vsnr_data.g = viewing_params.g; + end + if (isfield(viewing_params, 'r')) + vsnr_data.r = viewing_params.r; + end + if (isfield(viewing_params, 'v')) + vsnr_data.v = viewing_params.v; + end + if (isfield(viewing_params, 'num_levels')) + vsnr_data.num_levels = viewing_params.num_levels; + end + if (isfield(viewing_params, 'filter_gains')) + vsnr_data.filter_gains = viewing_params.filter_gains; + else + vsnr_data.filter_gains = 2.^[1:vsnr_data.num_levels]; + end + end + + % spatial frequencies for DWT levels + vsnr_data.fs = vsnr_data.r*vsnr_data.v*tan(pi/180) *... + 2.^-[1:vsnr_data.num_levels]; + + % initialize the pixel-value-to-luminance lookup table + pixel_vals = -255:255; + vsnr_data.pix2lum_table =... + (vsnr_data.b + vsnr_data.k*pixel_vals).^vsnr_data.g; + + % analyze the source image + vsnr_data.src_img = src_img; + clear src_img; + analyze_src_img(); + +% attempting to reuse cached data, check... +elseif (~isfield(vsnr_data, 'src_img')) + error('Invalid source image. Cached data not available.'); +end + +% measure the actual CSNRs of the distorted image +csnrs_act = analyze_dst_img(dst_img); + +if (csnrs_act == -1) % subthreshold distortions + res = Inf; +else + % if csnrs_act is a vector, this denotes the distortions + % are suprathreshold (visible) + if (length(csnrs_act) == vsnr_data.num_levels) + + % compute the assumed best CSNRs for the given Ce + csnrs_str = find_best_csnrs(vsnr_data.Ce); + + % convert the CSNRs to contrasts + Ces_act = vsnr_data.Cis ./ csnrs_act; + Ces_str = vsnr_data.Cis ./ csnrs_str; + + % compute the distances + d_gp = norm(Ces_str - Ces_act); + d_pc = vsnr_data.Ce; + d = alpha*d_pc + (1 - alpha)*d_gp/sqrt(2); + + % brightness-only difference + elseif (length(csnrs_act) == 1) + d = csnrs_act; + end + + % compute the VSNR + res = 20*log10(vsnr_data.Ci / d); +end + +% clean up +clear vsnr_data.Ce; +clear vsnr_data.Ces; +% rest of vsnr_data is cached until a call to vsnr(-1) +%---------------------------------------------------------------------- + +function analyze_src_img() +global vsnr_data; + +% compute some useful statistics about the original image +% mean pixel value +vsnr_data.mX = mean(vsnr_data.src_img(:)); +% mean luminance +src_img_lum = vsnr_data.pix2lum_table(vsnr_data.src_img(:) + 256); +vsnr_data.mL = mean(src_img_lum); +% total RMS image contrast +vsnr_data.Ci = std(src_img_lum, 1) / vsnr_data.mL; +% zeta value used to estimate image contrast at each scale +vsnr_data.zeta = vsnr_data.mL *... + (vsnr_data.b + vsnr_data.k*vsnr_data.mX)^(1 - vsnr_data.g) /... + (vsnr_data.k * vsnr_data.g); + +% compute the image contrast at each scale +vsnr_data.src_bands = imdwt(vsnr_data.src_img, vsnr_data.num_levels); +vsnr_data.Cis = zeros(1, vsnr_data.num_levels); +for s = 1:vsnr_data.num_levels + for o = 1:3 + % estimate the contrast at scale s, orient o + c = std(vsnr_data.src_bands{s}{o}(:), 1) /... + (vsnr_data.zeta * vsnr_data.filter_gains(s)); + vsnr_data.Cis(s) = vsnr_data.Cis(s) + c*c; + end +end +vsnr_data.Cis = sqrt(vsnr_data.Cis); + +% compute the total distortion contrast threshold +ctsnrs = best_csnrs(0); +CTes = vsnr_data.Cis ./ ctsnrs; +vsnr_data.CTe = norm(CTes); +%---------------------------------------------------------------------- + +function [res] = analyze_dst_img(dst_img) +global vsnr_data; + +% compute the error image and its total RMS contrast +err_img = double(uint8(dst_img - vsnr_data.src_img + vsnr_data.mX)); +err_img_lum = vsnr_data.pix2lum_table(err_img(:) + 256); +vsnr_data.Ce = std(err_img_lum, 1) / vsnr_data.mL; + +% if the distortion contrast is suprathreshold +% (i.e., if the distortions are visible)... +if (vsnr_data.Ce > vsnr_data.CTe) + % compute the distortion contrast at each scale + err_bands = imdwt(err_img, vsnr_data.num_levels); + vsnr_data.Ces = zeros(1, vsnr_data.num_levels); + for s = 1:vsnr_data.num_levels + for o = 1:3 + % estimate the contrast at scale s, orient o + c = std(err_bands{s}{o}(:), 1) /... + (vsnr_data.zeta * vsnr_data.filter_gains(s)); + vsnr_data.Ces(s) = vsnr_data.Ces(s) + c*c; + end + end + vsnr_data.Ces = sqrt(vsnr_data.Ces); + + % compute the actual CSNRs + res = vsnr_data.Cis ./ vsnr_data.Ces; +else + lum_diff = abs(mean(err_img_lum) - vsnr_data.mL); + if (lum_diff / vsnr_data.mL < 0.01) + % distortions are subthreshold (undetectable) + res = -1; + else + % punt to Weber's law for brightness-only differences + res = 1.5; + vsnr_data.Ci = 10^(vsnr_data.mL / lum_diff); + end +end +%---------------------------------------------------------------------- + +function [res] = best_csnrs(v_idx) +global vsnr_data; + +a0 = 59.8; +a1 = -0.1258; +a2 = -0.1087; + +b2 = (-1 - a2)*v_idx + a2; +b1 = (1 - a1)*v_idx + a1; +b0 = -a0*v_idx + a0; + +res = max(0, b0*(vsnr_data.fs.^(b2*log(vsnr_data.fs) + b1))); +%---------------------------------------------------------------------- + +function [res] = find_best_csnrs(Ce) +global vsnr_data; + +save_Ce = Ce; +deltaCe = 0.01 * Ce; +v_idx_min = 0; v_idx_max = 1; + +num_iters = 0; +while (num_iters < 32) + v_idx = 0.5 * (v_idx_min + v_idx_max); + if (num_iters > 0) + Ce = save_Ce; + end + + % compute the best CSNRs for the given visibility index + csnrs = best_csnrs(v_idx); + % compute the corresponding distortion contrast + hat_Ce = norm(vsnr_data.Cis ./ csnrs); + + if (v_idx_min == v_idx_max) + % punt + break; + end + + diffCe = hat_Ce - Ce; + if (abs(diffCe) < deltaCe) + % close enough + break; + elseif (diffCe < 0) + % Ce too low + v_idx_min = v_idx; + else + % Ce too high + v_idx_max = v_idx; + end +end + +res = csnrs; +%---------------------------------------------------------------------- diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/vsnr_demo.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/vsnr_demo.m new file mode 100644 index 0000000..03243d3 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/vsnr_demo.m @@ -0,0 +1,29 @@ + +% ------------------------------------------------------------------- +% Brief examples of using the VSNR() function +% ------------------------------------------------------------------- + +% load the original image +src_img = double(imread('horse.bmp')); +% load two distorted images +dst_img_1 = double(imread('horse.JP2.bmp')); +dst_img_2 = double(imread('horse.NOZ.bmp')); + +tic +% compute the VSNR for one of the distorted images +vsnr(src_img, dst_img_1) +toc + +tic +% compute the VSNR for the other distorted image [here, using the +% fast cache option by specifying -1 as the source image; this way, +% data regarding the source image don't have to be recomputed, +% rather, it will be recycled from the previous call to vsnr()] +vsnr(-1, dst_img_2) +toc + +tic +% example of doubling the viewing distance +viewing_params.v = 19.1 * 2; +vsnr(src_img, dst_img_2, -1, viewing_params) +toc diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/vsnr_modified.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/vsnr_modified.m new file mode 100644 index 0000000..726e094 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix/vsnr/vsnr_modified.m @@ -0,0 +1,387 @@ +%%%MM%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%%MM%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%%MM%%% VSNR, Modified Version +%%%MM%%% +%%%MM%%% The author of this modified version is with the Visual +%%%MM%%% Communications Laboratory, in department of Electrical and +%%%MM%%% Computer Engineering at Cornell University. The original +%%%MM%%% code was written by Damon Chandler at Cornell University. All of +%%%MM%%% the information and documentation provided with the original +%%%MM%%% code is included below. For more information, see the following +%%%MM%%% website: +%%%MM%%% +%%%MM%%% http://foulard.ece.cornell.edu/dmc27/vsnr/vsnr.html +%%%MM%%% +%%%MM%%% This version of the VSNR computation routine is identical to the +%%%MM%%% original routine, except that it calls a different function to +%%%MM%%% perform a wavelet decomposition. The reason for this decision +%%%MM%%% is to improve the portability of the code. The original VSNR +%%%MM%%% package includes Windows-compatible MEX hooks to code to compute +%%%MM%%% a 9/7 two-dimensional wavelet transform, while this one includes +%%%MM%%% a Matlab version that is used in situations where the existing +%%%MM%%% MEX hooks cannot be built properly. Also, when the input image +%%%MM%%% image is converted to the luminance domain, it is first clipped +%%%MM%%% and quantized to an integer in the range [0,255] +%%%MM%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%%MM%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%%MM%%% Author: Matthew Gaubatz +%%%MM%%% Version: 1.0 +%%%MM%%% Date: 01/05/2007 +%%%MM%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%%MM%%% Copyright (c) 2007 Visual Communications Lab, Cornell University +%%%MM%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%%MM%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +function [res] = vsnr(src_img, dst_img, alpha, viewing_params) +%VSNR Visual signal-to-noise ratio for digital images. +% [RES] = VSNR(SRC_IMG, DST_IMG) returns the visual signal-to-noise +% ratio for the distorted image DST_IMG relative to the original +% image SRC_IMG. The result is in dB in the range 0 - Inf. If the +% parameter SRC_IMG = -1, then data regarding the orignal image and +% viewing conditions will be recycled from the previous call to VSNR +% (see "Cache Option" below). +% +% [RES] = VSNR(SRC_IMG, DST_IMG, ALPHA) allows for the additional +% specification of the linear combination weight ALPHA (in the range +% [0, 1]) which specifies the relative contributions of perceived +% distortion contrast and disruption of global precedence toward the +% total visual distortion. By default, ALPHA = 0.04 (which uses 4% +% contribution from perceived distortion contrast, and 96% +% contribution from disruption of global precedence). Specifying a +% value of ALPHA = -1 will use the default (ALPHA = 0.04). +% +% [RES] = VSNR(SRC_IMG, DST_IMG, ALPHA, VIEWING_PARAMS) allows for +% additional specification of the viewing conditions and DWT options. +% The structure VIEWING_PARAMS contains the following data members +% which must be set prior to passing the structure to the VSNR +% function: +% +% VIEWING_PARAMS.b = display device black-level offset +% (default = 0, for 8-bit sRGB) +% VIEWING_PARAMS.k = display device pixel-value-to-voltage gain +% (default = 0.02874, for 8-bit sRGB) +% VIEWING_PARAMS.g = display device pixel-value-to-voltage gain +% (default = 2.2, for 8-bit sRGB) +% VIEWING_PARAMS.r = display device resolution (pixels/inch) +% (default = 96) +% VIEWING_PARAMS.v = viewing distance (inches) +% (default = 19.1) +% VIEWING_PARAMS.num_levels = number of DWT levels +% (default = 5) +% VIEWING_PARAMS.filter_gains = DWT filter gains (may be all ones) +% (default = 2.^[1:num_levels]) +% +% Specifying a value of VIEWING_PARAMS = -1 will use the default +% initialization of VIEWING_PARAMS. +% +% *** Cache Option *** +% [RES] = VSNR(-1, DST_IMG) or [RES] = VSNR(-1, DST_IMG, ALPHA) +% informs the VSNR function that data corresponding to viewing +% conditions and analysis of the original image should not be +% computed; rather, these data should be reused from the previous +% call to VSNR. This option is useful for measuring the VSNRs of +% various distorted versions of a single original image viewed under +% the same viewing conditions. Call VSNR(-1) [i.e., with only a +% single parameter of -1] to just clear the cache (no-op otherwise). +% +% Requires function imdwt to perform the forward DWT of the images. +% (See 'imdwt_cpp/compile_imdwt.m' for information on compiling a +% max shared library from 'imdwt_cpp/imdwt.cpp'.) + +% Author: D. M. Chander +% Copyright 1998-2007 Image Coding and Analysis Lab, Oklahoma State +% University, Stillwater, OK 74078 USA. +% $Revision: BETA 1.02.0.0 $ $Date: 2007/10/04/ 15:00:00 $ + +% this global variable is used by all subfunctions +% and is later cleared by vsnr() before returning +global vsnr_data; + +if (nargin == 1 & src_img == -1) + clear global vsnr_data; + res = -1; + return; +end + +if (nargin > 3 & src_img == -1) + s = 'Ignoring specified viewing parameters under cache option.'; + s = strcat(s, ' Using cached parameters instead.'); + warning(s); +end + +% default alpha +if (nargin < 3 | alpha == -1) + alpha = 0.04; +end + +if (src_img ~= -1) + % default viewing parameters and DWT options + if (nargin < 4 | ~isstruct(viewing_params)) + %%%MM%%% + %%%MM%%% [BEGIN CHANGE] + %%%MM%%% + %%%MM%%% add a semi-colon after the 'ok' symbol + %%%MM%%% + ok = 1; + %%%MM%%% + %%%MM%%% [END CHANGE] + %%%MM%%% + % display device black-level offset (sRGB) + vsnr_data.b = 0; + % display device pixel-value-to-voltage gain (sRGB) + vsnr_data.k = 0.02874; + % display device gamma (sRGB) + vsnr_data.g = 2.2; + % display device resolution (pixels/inch) + vsnr_data.r = 96; + % viewing distance (inches) + vsnr_data.v = 19.1; + % number of DWT levels + vsnr_data.num_levels = 5; + % DWT filter gains (typically either as below, or all ones) + vsnr_data.filter_gains = 2.^[1:vsnr_data.num_levels]; + else + if (isfield(viewing_params, 'b')) + vsnr_data.b = viewing_params.b; + end + if (isfield(viewing_params, 'k')) + vsnr_data.k = viewing_params.k; + end + if (isfield(viewing_params, 'g')) + vsnr_data.g = viewing_params.g; + end + if (isfield(viewing_params, 'r')) + vsnr_data.r = viewing_params.r; + end + if (isfield(viewing_params, 'v')) + vsnr_data.v = viewing_params.v; + end + if (isfield(viewing_params, 'num_levels')) + vsnr_data.num_levels = viewing_params.num_levels; + end + if (isfield(viewing_params, 'filter_gains')) + vsnr_data.filter_gains = viewing_params.filter_gains; + else + vsnr_data.filter_gains = 2.^[1:vsnr_data.num_levels]; + end + end + + % spatial frequencies for DWT levels + vsnr_data.fs = vsnr_data.r*vsnr_data.v*tan(pi/180) *... + 2.^-[1:vsnr_data.num_levels]; + + % initialize the pixel-value-to-luminance lookup table + pixel_vals = -255:255; + vsnr_data.pix2lum_table =... + (vsnr_data.b + vsnr_data.k*pixel_vals).^vsnr_data.g; + + % analyze the source image + vsnr_data.src_img = src_img; + clear src_img; + analyze_src_img(); + +% attempting to reuse cached data, check... +elseif (~isfield(vsnr_data, 'src_img')) + error('Invalid source image. Cached data not available.'); +end + +% measure the actual CSNRs of the distorted image +csnrs_act = analyze_dst_img(dst_img); + +if (csnrs_act == -1) % subthreshold distortions + res = Inf; +else + % if csnrs_act is a vector, this denotes the distortions + % are suprathreshold (visible) + if (length(csnrs_act) == vsnr_data.num_levels) + + % compute the assumed best CSNRs for the given Ce + csnrs_str = find_best_csnrs(vsnr_data.Ce); + + % convert the CSNRs to contrasts + Ces_act = vsnr_data.Cis ./ csnrs_act; + Ces_str = vsnr_data.Cis ./ csnrs_str; + + % compute the distances + d_gp = norm(Ces_str - Ces_act); + d_pc = vsnr_data.Ce; + d = alpha*d_pc + (1 - alpha)*d_gp/sqrt(2); + + % brightness-only difference + elseif (length(csnrs_act) == 1) + d = csnrs_act; + end + + % compute the VSNR + res = 20*log10(vsnr_data.Ci / d); +end + +% clean up +clear vsnr_data.Ce; +clear vsnr_data.Ces; +% rest of vsnr_data is cached until a call to vsnr(-1) +%---------------------------------------------------------------------- + +function analyze_src_img() +global vsnr_data; + +% compute some useful statistics about the original image +% mean pixel value +vsnr_data.mX = mean(vsnr_data.src_img(:)); +% mean luminance +%%%MM%%% +%%%MM%%% [BEGIN CHANGE] +%%%MM%%% +%%%MM%%% force image to integers in the range [0,255] +%%%MM%%% + +%%%MM%%%src_img_lum = vsnr_data.pix2lum_table(vsnr_data.src_img(:) + 256); +src_img_lum = vsnr_data.pix2lum_table( double(uint8( vsnr_data.src_img(:) )) + 256); +%%%MM%%% +%%%MM%%% [END CHANGE] +%%%MM%%% +vsnr_data.mL = mean(src_img_lum); +% total RMS image contrast +vsnr_data.Ci = std(src_img_lum, 1) / vsnr_data.mL; +% zeta value used to estimate image contrast at each scale +vsnr_data.zeta = vsnr_data.mL *... + (vsnr_data.b + vsnr_data.k*vsnr_data.mX)^(1 - vsnr_data.g) /... + (vsnr_data.k * vsnr_data.g); + +%%%MM%%% +%%%MM%%% [BEGIN CHANGE] +%%%MM%%% + +%%%MM%%% +%%%MM%%% replace the original 'imdwt' function with another version +%%%MM%%% + +% compute the image contrast at each scale +%%%MM%%%vsnr_data.src_bands = imdwt(vsnr_data.src_img, vsnr_data.num_levels); +vsnr_data.src_bands = imdwt_modified(vsnr_data.src_img, vsnr_data.num_levels); + +%%%MM%%% +%%%MM%%% [END CHANGE] +%%%MM%%% + +vsnr_data.Cis = zeros(1, vsnr_data.num_levels); +for s = 1:vsnr_data.num_levels + for o = 1:3 + % estimate the contrast at scale s, orient o + c = std(vsnr_data.src_bands{s}{o}(:), 1) /... + (vsnr_data.zeta * vsnr_data.filter_gains(s)); + vsnr_data.Cis(s) = vsnr_data.Cis(s) + c*c; + end +end +vsnr_data.Cis = sqrt(vsnr_data.Cis); + +% compute the total distortion contrast threshold +ctsnrs = best_csnrs(0); +CTes = vsnr_data.Cis ./ ctsnrs; +vsnr_data.CTe = norm(CTes); +%---------------------------------------------------------------------- + +function [res] = analyze_dst_img(dst_img) +global vsnr_data; + +% compute the error image and its total RMS contrast +err_img = double(uint8(dst_img - vsnr_data.src_img + vsnr_data.mX)); +err_img_lum = vsnr_data.pix2lum_table(err_img(:) + 256); +vsnr_data.Ce = std(err_img_lum, 1) / vsnr_data.mL; + +% if the distortion contrast is suprathreshold +% (i.e., if the distortions are visible)... +if (vsnr_data.Ce > vsnr_data.CTe) + %%%MM%%% + %%%MM%%% [BEGIN CHANGE] + %%%MM%%% + + %%%MM%%% + %%%MM%%% replace the original 'imdwt' function with another version + %%%MM%%% + + % compute the distortion contrast at each scale + %%%MM%%%err_bands = imdwt(err_img, vsnr_data.num_levels); + err_bands = imdwt_modified(err_img, vsnr_data.num_levels); + + %%%MM%%% + %%%MM%%% [END CHANGE] + %%%MM%%% + vsnr_data.Ces = zeros(1, vsnr_data.num_levels); + for s = 1:vsnr_data.num_levels + for o = 1:3 + % estimate the contrast at scale s, orient o + c = std(err_bands{s}{o}(:), 1) /... + (vsnr_data.zeta * vsnr_data.filter_gains(s)); + vsnr_data.Ces(s) = vsnr_data.Ces(s) + c*c; + end + end + vsnr_data.Ces = sqrt(vsnr_data.Ces); + + % compute the actual CSNRs + res = vsnr_data.Cis ./ vsnr_data.Ces; +else + lum_diff = abs(mean(err_img_lum) - vsnr_data.mL); + if (lum_diff / vsnr_data.mL < 0.01) + % distortions are subthreshold (undetectable) + res = -1; + else + % punt to Weber's law for brightness-only differences + res = 1.5; + vsnr_data.Ci = 10^(vsnr_data.mL / lum_diff); + end +end +%---------------------------------------------------------------------- + +function [res] = best_csnrs(v_idx) +global vsnr_data; + +a0 = 59.8; +a1 = -0.1258; +a2 = -0.1087; + +b2 = (-1 - a2)*v_idx + a2; +b1 = (1 - a1)*v_idx + a1; +b0 = -a0*v_idx + a0; + +res = max(0, b0*(vsnr_data.fs.^(b2*log(vsnr_data.fs) + b1))); +%---------------------------------------------------------------------- + +function [res] = find_best_csnrs(Ce) +global vsnr_data; + +save_Ce = Ce; +deltaCe = 0.01 * Ce; +v_idx_min = 0; v_idx_max = 1; + +num_iters = 0; +while (num_iters < 32) + v_idx = 0.5 * (v_idx_min + v_idx_max); + if (num_iters > 0) + Ce = save_Ce; + end + + % compute the best CSNRs for the given visibility index + csnrs = best_csnrs(v_idx); + % compute the corresponding distortion contrast + hat_Ce = norm(vsnr_data.Cis ./ csnrs); + + if (v_idx_min == v_idx_max) + % punt + break; + end + + diffCe = hat_Ce - Ce; + if (abs(diffCe) < deltaCe) + % close enough + break; + elseif (diffCe < 0) + % Ce too low + v_idx_min = v_idx; + else + % Ce too high + v_idx_max = v_idx; + end +end + +res = csnrs; +%---------------------------------------------------------------------- diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix_mux.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix_mux.m new file mode 100644 index 0000000..b856aa6 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/metrix_mux.m @@ -0,0 +1,157 @@ +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% +%%% FUNCTION: metrix_mux +%%% +%%% INPUTS: reference_image - original image data +%%% +%%% query_image - modified image data to be compared with +%%% original image +%%% +%%% metrix_indicator - a series of letters (or a number) denoting +%%% the assement algorithm to be used for this +%%% comparison; names (and corresponding +%%% numbers of supported algorithms are given +%%% below. +%%% +%%% OUTPUTS: metrix_value - value computed by the selected algorithm +%%% +%%% CHANGES: NONE +%%% +%%% NOTES: This routine is the generic gateway to all the quality +%%% assessment algorithms included in the MeTriX MuX package. The +%%% API is simple; it requires an input reference image, an input +%%% query image to be compared with the reference image, and an +%%% algorithm name. A list of all supported metrics is given here: +%%% +%%% algorithm indicator string indicator value +%%% --------------------------- ---------------- --------------- +%%% mean-squared error 'MSE' 1 +%%% peak signal-to-noise ratio 'PSNR' 2 +%%% structural similarity index 'SSIM' 3 +%%% multiscale SSIM index 'MSSIM' 4 +%%% visual signal-to-noise ratio 'VSNR' 5 +%%% visual information fidelity 'VIF' 6 +%%% pixel-based VIF 'VIFP' 7 +%%% universal quality index 'UQI' 8 +%%% image fidelity criterion 'IFC' 9 +%%% noise quality measure 'NQM' 10 +%%% weighted signal-to-noise ratio 'WSNR' 11 +%%% signal-to-noise ratio 'SNR' 12 +%%% +%%% This function performs various kind of error checking, such +%%% that each supported algorithm should "work" with any input image. +%%% Some of the algorithms, for instance, use a multi-scale +%%% space-frequency decomposition which requires the input signal +%%% to be a certain size. If any padding is required to make sure +%%% a decomposition will function properly, it will be applied +%%% automatically. Also, most metrics are designed to operate on +%%% a single color plane of data. If a multi-plane image i +%%% provided as input, this routine assumes that the data represents +%%% an RGB image, and will extract the luminance component of the +%%% image using the RGB->YCbCr transform utilized by the IJG JPEG +%%% library. +%%% +%%% The 'preprocess_metrix_mux' function is provided as a separate +%%% routine in case a user intends to compute more than one +%%% comparions using a specific input reference image. +%%% +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% Author: Matthew Gaubatz +%%% Version: 1.0 +%%% Date: 01/05/2007 +%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% Copyright (c) 2007 Visual Communications Lab, Cornell University +%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% Permission to use, copy, modify, distribute and sell this software +%%% and its documentation for any purpose is hereby granted without fee, +%%% provided that the above copyright notice appear in all copies and +%%% that both that copyright notice and this permission notice appear +%%% in supporting documentation. VCL makes no representations about +%%% the suitability of this software for any purpose. +%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% DISCLAIMER: +%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% The code provided hereunder is provided as is without warranty +%%% of any kind, either express or implied, including but not limited +%%% to the implied warranties of merchantability and fitness for a +%%% particular purpose. The author(s) shall in no event be liable for +%%% any damages whatsoever including direct, indirect, incidental, +%%% consequential, loss of business profits or special damages. +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + + +function [metrix_value] = metrix_mux( reference_image, query_image, metrix_indicator ) + +[H_reference,W_reference,D_reference] = size( reference_image ); +[H_query,W_query,D_query] = size( query_image ); + +%%% +%%% check that the input images are actual images +%%% +if (H_reference == 0) | (W_reference == 0) + error('Error [metrix_mux]: Reference image is zero-dimensional!'); +end +if (H_query == 0) | (W_query == 0) + error('Error [metrix_mux]: Query image is zero-dimensional!'); +end + +%%% +%%% check that the input images are the same size +%%% +if ( (H_reference ~= H_query) | (W_reference ~= W_query) | (D_reference ~= D_query) ) + error('Error [metrix_mux]: Reference and query images are not the same size!'); +end + + +metrix_name_cell = get_name_cell_metrix_mux; + +if isstr( metrix_indicator ) + %%% + %%% convert input string to upper case + %%% + metrix_name = lower( metrix_indicator ); +else + %%% + %%% map metric indicator to a function name + %%% + if (metrix_indicator < 1) | (metrix_indicator > length( metrix_name_cell )) + %%% + %%% alert the user that the metric indicator is not valid + %%% + error( sprintf('Error [metric_mux]: Input metric indicator %i is not between 1 and %i\n (and therefore does not correspond to a supported metric).', metrix_indicator, length(metrix_name_cell) ) ); + error(' (and therefore does not correspond to a supported metric).'); + end + metrix_indicator = max(1, min(length(metrix_name_cell), metrix_indicator)); + metrix_name = metrix_name_cell{ metrix_indicator }; +end + +%%% +%%% compute desired metric +%%% +for k = 1:length( metrix_name_cell ) + if strcmp( metrix_name, metrix_name_cell{k} ) ~= 0 + %%% + %%% preprocess the input images + %%% + reference_image = preprocess_metrix_mux( reference_image, metrix_name_cell{k} ); + query_image = preprocess_metrix_mux( query_image, metrix_name_cell{k} ); + %%% + %%% call the desired metric + %%% + metrix_value = feval( sprintf('metrix_%s',metrix_name), reference_image, query_image ); + return; + end +end + +%%% +%%% alert the user that the metrix indicator is not valid +%%% +error_str = sprintf('Error [metrix_mux]: Input metrix indicator ''%s'' not recognized!\n\n', metrix_indicator); +error_str = [error_str sprintf(' A list of supported metrix indicator values is given below:\n\n')];; +for k = 1:length( metrix_name_cell ) + error_str = [error_str sprintf(' %i - ''%s''\n', k, metrix_name_cell{k})]; +end +error( error_str ); + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/preprocess_metrix_mux.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/preprocess_metrix_mux.m new file mode 100644 index 0000000..11b661d --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/preprocess_metrix_mux.m @@ -0,0 +1,148 @@ +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% +%%% FUNCTION: preprocess_metrix_mux +%%% +%%% INPUTS: input_image - input image data +%%% +%%% metrix_indicator - a series of letters (or a number) denoting +%%% the metric to be used for this comparison; +%%% type "help metrix_mux" to learn more about +%%% what metrics are supported +%%% +%%% OUTPUTS: preprocessed_image - preprocessed image data +%%% +%%% CHANGES: NONE +%%% +%%% NOTES: Range-checking is NOT performed because it is a relatively +%%% expensive operation. If no 'metrix_indicator' argument is +%%% specified, ALL preprocessing measures are applied. (Only +%%% 'IFC', 'VIF' and 'VSNR' require any padding.) Though +%%% future releases may address this issue differently, ALL input +%%% images are converted to grayscale if they are not already +%%% monochrome images. +%%% +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% Author: Matthew Gaubatz +%%% Version: 1.1 +%%% Date: 04/15/2007 +%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% Copyright (c) 2007 Visual Communications Lab, Cornell University +%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% Permission to use, copy, modify, distribute and sell this software +%%% and its documentation for any purpose is hereby granted without fee, +%%% provided that the above copyright notice appear in all copies and +%%% that both that copyright notice and this permission notice appear +%%% in supporting documentation. VCL makes no representations about +%%% the suitability of this software for any purpose. +%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% DISCLAIMER: +%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% The code provided hereunder is provided as is without warranty +%%% of any kind, either express or implied, including but not limited +%%% to the implied warranties of merchantability and fitness for a +%%% particular purpose. The author(s) shall in no event be liable for +%%% any damages whatsoever including direct, indirect, incidental, +%%% consequential, loss of business profits or special damages. +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +function input_image = preprocess_metrix_mux( input_image, metrix_indicator ) + + +%%% +%%% check if an image name was entered instead of an actual image; +%%% if so, try reading in the image +%%% +if isstr( input_image ) + try + input_image = imread( input_image ); + catch + error( sprintf('Error [preprocess_metrix_mux]: Input argument ''%s'' does not correspond to a Matlab image or an image file.', input_image ) ); + end +end + +%%% +%%% caste it to a double +%%% +if ~isa( input_image, 'double' ) + input_image = double( input_image ); +end +%%% +%%% if necessary, make sure that there is just one color plane +%%% +[H,W,D] = size( input_image ); + + +%%% +%%% MSE, PSNR can do color +%%% + +if D ~= 1 + %%% + %%% if the image has 3 color planes, assume that the planes + %%% represent sRGB data and grab the luminance component + %%% of the image + %%% + if D == 3 + input_image = 0.29900 * input_image(:,:,1) + 0.58700 * input_image(:,:,2) + 0.11400 * input_image(:,:,3); + else + error('Error [preprocess_metrix_mux]: input image does not belong to a recognized color space.'); + end +end + + +%%% +%%% check to see if the image needs any padding and provide it if necessary +%%% +if (nargin == 1) |... + (strcmp( metrix_indicator, 'vif' ) ~= 0) |... + (strcmp( metrix_indicator, 'ifc' ) ~= 0) |... + (strcmp( metrix_indicator, 'vsnr' ) ~= 0) + + LCM_for_decomposition = 32; + minimum_size_for_decomposition = 128; + + H_minimum = max( minimum_size_for_decomposition, LCM_for_decomposition*ceil(H/LCM_for_decomposition) ); + W_minimum = max( minimum_size_for_decomposition, LCM_for_decomposition*ceil(W/LCM_for_decomposition) ); + if (H ~= H_minimum) | (W ~= W_minimum) + + %%% + %%% implement symmetric extension + %%% + padded_image = zeros(H_minimum,W_minimum); + + pad_pixels_top = round( (H_minimum-H)/2 ); + pad_pixels_bottom = H_minimum - H - pad_pixels_top; + pad_pixels_left = round( (W_minimum - W)/2 ); + pad_pixels_right = W_minimum - W - pad_pixels_left; + + %%% + %%% copy vertical then horizontal edge pixels + %%% + padded_image(pad_pixels_top+[1:H],1:pad_pixels_left) = input_image([1:H],1 + min(W-1,[pad_pixels_left:-1:1]) ); + padded_image(pad_pixels_top+[1:H],pad_pixels_left+W+1:end) = input_image([1:H], W - min(W-1,[1:pad_pixels_right]) ); + + padded_image(1:pad_pixels_top,pad_pixels_left+[1:W]) = input_image(1 + min(H-1,[pad_pixels_top:-1:1]),[1:W] ); + padded_image(pad_pixels_top+H+1:end,pad_pixels_left+[1:W]) = input_image(H - min(H-1,[1:pad_pixels_bottom]),[1:W] ); + + %%% + %%% copy corners + %%% + padded_image(1:pad_pixels_top,1:pad_pixels_left) = input_image( min(H,2), min(W,2) ); + padded_image(pad_pixels_top+H+1:end,1:pad_pixels_left) = input_image( max(H-1,1), min(W,2) ); + padded_image(1:pad_pixels_top,pad_pixels_left+W+1:end) = input_image( min(H,2), max(W-1,1) ); + padded_image(pad_pixels_top+H+1:end,pad_pixels_left+W+1:end) = input_image( max(H-1,1), max(W-1,1) ); + + %%% + %%% copy main portion of image + %%% + padded_image(pad_pixels_top+[1:H],pad_pixels_left+[1:W]) = input_image; + + input_image = padded_image; + end + +end + + +preprocessed_image = input_image; diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/test_metrix_mux.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/test_metrix_mux.m new file mode 100644 index 0000000..c5016a5 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/test_metrix_mux.m @@ -0,0 +1,72 @@ +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% +%%% FUNCTION: test_metrix_mux +%%% +%%% INPUTS: NONE +%%% +%%% OUTPUTS: NONE +%%% +%%% CHANGES: Loads a pair of images (included with the VSNR algorithm code), +%%% then runs every algorithm included with the MeTriX MuX +%%% package on these images, to make sure that they no +%%% execptions are thrown. +%%% +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% Author: Matthew Gaubatz +%%% Version: 1.0 +%%% Date: 01/05/2007 +%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% Copyright (c) 2007 Visual Communications Lab, Cornell University +%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% Permission to use, copy, modify, distribute and sell this software +%%% and its documentation for any purpose is hereby granted without fee, +%%% provided that the above copyright notice appear in all copies and +%%% that both that copyright notice and this permission notice appear +%%% in supporting documentation. VCL makes no representations about +%%% the suitability of this software for any purpose. +%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% DISCLAIMER: +%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% The code provided hereunder is provided as is without warranty +%%% of any kind, either express or implied, including but not limited +%%% to the implied warranties of merchantability and fitness for a +%%% particular purpose. The author(s) shall in no event be liable for +%%% any damages whatsoever including direct, indirect, incidental, +%%% consequential, loss of business profits or special damages. +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +function test_metrix_mux + +%%% +%%% initialize error counter; +%%% +total_error_counter = 0; + +%%% +%%% load test images +%%% +try + reference_image = double(imread('horse.bmp')); + query_image = double(imread('horse.JP2.bmp')); +catch + fprintf('Error [test_metrix_mux]: Cannot load test image files!\n'); + total_error_counter = total_error_counter + 1; +end + +%%% +%%% run all the algorithms +%%% +metrix_name_cell = get_name_cell_metrix_mux; +for k = 1:length( metrix_name_cell ) + try + metrix_mux( reference_image, query_image, metrix_name_cell{k} ); + fprintf('Algorithm %s computed successfully!\n', metrix_name_cell{k} ); + catch + fprintf('Error [test_metrix_mux]: algorithm %s did not compute correctly!\n', metrix_name_cell{k} ); + total_error_counter = total_error_counter + 1; + end +end + +fprintf('Total error count: %i\n',total_error_counter); diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/dwt2d/bior53.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/dwt2d/bior53.m new file mode 100644 index 0000000..79c56e9 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/dwt2d/bior53.m @@ -0,0 +1,53 @@ +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% +%%% FUNCTION: bior53 +%%% +%%% INPUTS: NONE +%%% +%%% OUTPUTS: lo_d - low-pass decomposotion filter +%%% +%%% hi_d - high-pass decomposition filter +%%% +%%% lo_r - low-pass reconstruction filter +%%% +%%% hi_r - high-pass reconstruction filter +%%% +%%% CHANGES: NONE +%%% +%%% NOTES: Computes analysis and synthesis filters for a 5/3 biorthogonal +%%% wavelet transfiorm. +%%% +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% Author: Matthew Gaubatz +%%% Version: 1.0 +%%% Date: 01/05/2007 +%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% Copyright (c) 2007 Visual Communications Lab, Cornell University +%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% Permission to use, copy, modify, distribute and sell this software +%%% and its documentation for any purpose is hereby granted without fee, +%%% provided that the above copyright notice appear in all copies and +%%% that both that copyright notice and this permission notice appear +%%% in supporting documentation. VCL makes no representations about +%%% the suitability of this software for any purpose. +%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% DISCLAIMER: +%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% The code provided hereunder is provided as is without warranty +%%% of any kind, either express or implied, including but not limited +%%% to the implied warranties of merchantability and fitness for a +%%% particular purpose. The author(s) shall in no event be liable for +%%% any damages whatsoever including direct, indirect, incidental, +%%% consequential, loss of business profits or special damages. +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +function [lo_d,hi_d,lo_r,hi_r] = bior97 + +lo_d = [-1 2 6 2 -1]/8; +hi_d = [0 -1 2 -1 0]/2; +lo_r = [0 1 2 1 0]/2; +hi_r = [-1 -2 6 -2 -1]/8; + + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/dwt2d/bior97.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/dwt2d/bior97.m new file mode 100644 index 0000000..80c590e --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/dwt2d/bior97.m @@ -0,0 +1,66 @@ +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% +%%% FUNCTION: bior97 +%%% +%%% INPUTS: NONE +%%% +%%% OUTPUTS: lo_d - low-pass decomposotion filter +%%% +%%% hi_d - high-pass decomposition filter +%%% +%%% lo_r - low-pass reconstruction filter +%%% +%%% hi_r - high-pass reconstruction filter +%%% +%%% CHANGES: NONE +%%% +%%% NOTES: Computes analysis and synthesis filters for a 9/7 biorthogonal +%%% wavelet transfiorm. +%%% +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% Author: Matthew Gaubatz +%%% Version: 1.0 +%%% Date: 01/05/2007 +%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% Copyright (c) 2007 Visual Communications Lab, Cornell University +%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% Permission to use, copy, modify, distribute and sell this software +%%% and its documentation for any purpose is hereby granted without fee, +%%% provided that the above copyright notice appear in all copies and +%%% that both that copyright notice and this permission notice appear +%%% in supporting documentation. VCL makes no representations about +%%% the suitability of this software for any purpose. +%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% DISCLAIMER: +%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% The code provided hereunder is provided as is without warranty +%%% of any kind, either express or implied, including but not limited +%%% to the implied warranties of merchantability and fitness for a +%%% particular purpose. The author(s) shall in no event be liable for +%%% any damages whatsoever including direct, indirect, incidental, +%%% consequential, loss of business profits or special damages. +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +function [lo_d,hi_d,lo_r,hi_r] = bior97 + +lo_d(1) = 0.85269867900889; +lo_d(2) = 0.37740285561283; +lo_d(3) = -0.11062440441844; +lo_d(4) = -0.02384946501956; +lo_d(5) = 0.03782845550726; + +hi_d(1) = -0.78848561640558; +hi_d(2) = 0.41809227322162; +hi_d(3) = 0.04068941760916; +hi_d(4) = -0.06453888262870; +hi_d(5) = 0; + +hi_r = [lo_d(1) -lo_d(2) lo_d(3) -lo_d(4) lo_d(5)]; +lo_r = [hi_d(1) -hi_d(2) hi_d(3) -hi_d(4) hi_d(5)]; + +lo_d = [fliplr(lo_d(2:end)) lo_d]; +hi_d = [fliplr(hi_d(2:end)) hi_d]; +lo_r = [fliplr(lo_r(2:end)) lo_r]; +hi_r = [fliplr(hi_r(2:end)) hi_r]; diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/dwt2d/dwt2d.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/dwt2d/dwt2d.m new file mode 100644 index 0000000..826b3d7 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/dwt2d/dwt2d.m @@ -0,0 +1,114 @@ +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% +%%% FUNCTION: dwt2d +%%% +%%% INPUTS: data - input image data +%%% +%%% nlev - desired number of transform levels +%%% +%%% mode - filter type ('97' or '53') +%%% +%%% OUTPUTS: data - a 2-D wavelet transform of the input +%%% +%%% CHANGES: NONE +%%% +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% Author: Matthew Gaubatz +%%% Version: 1.0 +%%% Date: 01/05/2007 +%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% Copyright (c) 2007 Visual Communications Lab, Cornell University +%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% Permission to use, copy, modify, distribute and sell this software +%%% and its documentation for any purpose is hereby granted without fee, +%%% provided that the above copyright notice appear in all copies and +%%% that both that copyright notice and this permission notice appear +%%% in supporting documentation. VCL makes no representations about +%%% the suitability of this software for any purpose. +%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% DISCLAIMER: +%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% The code provided hereunder is provided as is without warranty +%%% of any kind, either express or implied, including but not limited +%%% to the implied warranties of merchantability and fitness for a +%%% particular purpose. The author(s) shall in no event be liable for +%%% any damages whatsoever including direct, indirect, incidental, +%%% consequential, loss of business profits or special damages. +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +function data = dwt2d(data,nlev,mode) + +%%% +%%% pick the decomposition mode +%%% +try + mode = mode; +catch + mode = '97'; +end + +%%% +%%% grab filters +%%% +if mode == '97' + [lod,hid,lor,hir] = bior97; + +else + [lod,hid,lor,hir] = bior53; +end + + +%%% +%%% compute the DWT +%%% +data = dwt2d_helper(data,lod,hid,nlev); + +%%% +%%% recursive DWT helper function +%%% +function data = dwt2d_helper(data,lo_filt,hi_filt,iter) + +if iter > 0 + + [H,W] = size(data); + + data = conv_row_wfilters_down(data,lo_filt,hi_filt); + data = conv_row_wfilters_down(data.',lo_filt,hi_filt).'; + + data(1:H/2,1:W/2) = dwt2d_helper(data(1:H/2,1:W/2),lo_filt,hi_filt,iter-1); + +end + +%%% +%%% 1-dimensionsal convolution/downsampling routine +%%% +function [data] = conv_row_wfilters_down(data,lo_filt,hi_filt) + +[H,W] = size(data); + +N = length(lo_filt)-1; +L = N/2; + +%%% +%%% apply horizontal filters +%%% + +for h = 1:H + + row = data(h,:); + row = [fliplr(row(2:(L+1))) row fliplr(row((end-L):end-1))]; + + row_lo = conv(row,lo_filt); + row_lo = row_lo(N+1:end-N); + + + row_hi = conv(row,hi_filt); + row_hi = row_hi(N+1:end-N); + + row = [row_lo(1:2:end) row_hi(2:2:end)]; + + data(h,:) = row; + +end diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/dwt2d/idwt2d.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/dwt2d/idwt2d.m new file mode 100644 index 0000000..57d0c99 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/dwt2d/idwt2d.m @@ -0,0 +1,119 @@ +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% +%%% FUNCTION: idwt2d +%%% +%%% INPUTS: data - 2-D wavelet transform data +%%% +%%% nlev - desired number of transform levels +%%% +%%% mode - filter type ('97' or '53') +%%% +%%% OUTPUTS: data - untransformed image data +%%% +%%% CHANGES: NONE +%%% +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% Author: Matthew Gaubatz +%%% Version: 1.0 +%%% Date: 01/05/2007 +%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% Copyright (c) 2007 Visual Communications Lab, Cornell University +%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% Permission to use, copy, modify, distribute and sell this software +%%% and its documentation for any purpose is hereby granted without fee, +%%% provided that the above copyright notice appear in all copies and +%%% that both that copyright notice and this permission notice appear +%%% in supporting documentation. VCL makes no representations about +%%% the suitability of this software for any purpose. +%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% DISCLAIMER: +%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% The code provided hereunder is provided as is without warranty +%%% of any kind, either express or implied, including but not limited +%%% to the implied warranties of merchantability and fitness for a +%%% particular purpose. The author(s) shall in no event be liable for +%%% any damages whatsoever including direct, indirect, incidental, +%%% consequential, loss of business profits or special damages. +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +function data = idwt2d(data,nlev,mode) + + +try + mode = mode; +catch + mode = '97'; +end + +if mode == '97' + [lod,hid,lor,hir] = bior97; + +else + [lod,hid,lor,hir] = bior53; +end + + + +%data = idwt2d_helper(data,lor,hir,nlev); + +[H,W] = size(data); + +for iter_ctr = (nlev):-1:1 + + + data_temp = data(1:H/(2^(iter_ctr-1)),1:W/(2^(iter_ctr-1))); + + + data(1:H/(2^(iter_ctr-1)),1:W/(2^(iter_ctr-1))) = idwt2d_helper(data_temp,lor,hir); + +end + + + +function data = idwt2d_helper(data,lo_filt,hi_filt) + + +data = conv_row_wfilters_up(data,lo_filt,hi_filt); +data = conv_row_wfilters_up(data.',lo_filt,hi_filt).'; + +function [data] = conv_row_wfilters_up(data,lo_filt,hi_filt) + + +[H,W] = size(data); + +N = length(lo_filt)-1; +L = N/2; + +% apply horizontal filters +for h = 1:H + + row = data(h,:); + + row_lo = zeros(1,W); + row_lo(1:2:end) = row(1:W/2); + + row_hi = zeros(1,W); + row_hi(2:2:end) = row(W/2+1:end); + + + + row_lo = [fliplr(row_lo(2:(L+1))) row_lo fliplr(row_lo((end-L):end-1))]; + row_hi = [fliplr(row_hi(2:(L+1))) row_hi fliplr(row_hi((end-L):end-1))]; + + + row_lo = conv(row_lo,lo_filt); + row_lo = row_lo(N+1:end-N); + + + row_hi = conv(row_hi,hi_filt); + row_hi = row_hi(N+1:end-N); + + row = row_lo + row_hi; + + + data(h,:) = row; + + +end diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/ChangeLog b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/ChangeLog new file mode 100644 index 0000000..f20c499 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/ChangeLog @@ -0,0 +1,430 @@ + Log of changes made to matlabPyrTools code + (important changes marked with **) +----------------------------------------------------------------------- +2004-10-14 Eero Simoncelli <eero@sesto.cns.nyu.edu> + + * Made new tarfile (version 1.3) + + * Incorporated complex-valued steerable pyramid code (buildSCFpyr, + buildSCFpyrLevs,reconSCFpyr) written by Javier Portilla in 9/97, + and used in our work on texture representation/synthesis + (Portilla&Simoncelli, Int'l Journal of Computer Vision, + 40(1):49-71, Dec 2000). + + * Incorporated imGradient.m from personal code. + + * reagan.pgm out. feynam.pgm in + +2004-03-20 Eero Simoncelli <eero@sesto.cns.nyu.edu> + + * blur.m added (just calls blurDn and then upBlur). + +2003-08-06 Eero Simoncelli <eero@sesto.cns.nyu.edu> + + * blurDn.m (filt): Forced correct scaling of filters in 1D + +2003-05-28 Eero Simoncelli <eero@ferrando.cns.nyu.edu> + + * incorporated setPyrBand.m from local code + +2002-10-01 Eero Simoncelli <eero.simoncelli@nyu.edu> + + * incorporated clip.m from local code + +2002-09-18 Eero Simoncelli <eero.simoncelli@nyu.edu> + + * pointOp.m: Added the new 'extrap' option for matlab's interp1 to + make this m-file version more compatible with the mex version. + +Wed Aug 28 2002 Eero Simoncelli <eero.simoncelli@nyu.edu> + + * var2.m: now returns zero (instead of error) for matrix of size 1. + * function VECTORIZE renamed to VECTIFY, since it was colliding + with a function introduced in standard matlab. + +Dec 27 2001 Eero Simoncelli <eero.simoncelli@nyu.edu> + + * Modified calls to upConv in reconSpyr.m and reconSpyrLevs.m so + that the returned result is bound. Previously, had relied on the + MEX version of upConv to destructively modify the result array, + users had been getting errors because they were using the m-file + version of upConv. + +Wed Sep 19 2001 Eero Simoncelli <eero.simoncelli@nyu.edu> + + * buildSFpyrLevs/reconSFpyrLevs: replace use of "i" with sqrt(-1), to + avoid problems if user rebinds it! + +Wed Mar 28 10:22:01 2001 Eero Simoncelli <eero.simoncelli@nyu.edu> + + * Moved innerProd.m and all associated MEX files from the + matlabLocal source tree into matlabPyrTools. + * Added innerProd to Contents.m + * Updated/clarified WARNINGS in all *.m files that have MEX versions. + +Tue Mar 27 11:21:53 2001 Eero Simoncelli <eero.simoncelli@nyu.edu> + + * Incorporated Windows MEX files (*.dll) into MEX subdirectory. + Windows users should either copy these into the main directory, + or put the MEX subdirectory in their matlab path. + +Fri Mar 23 14:46:16 2001 Eero Simoncelli <eero.simoncelli@nyu.edu> + + * buildSFpyrLevs.m, reconSFpyrLevs.m: shift the raised-cosine + lookup table (Xrcos) instead of incrementing the log-radial image + (log_rad). THis is more efficient... + +Fri Oct 1 19:37:03 1999 Eero Simoncelli <eero.simoncelli@nyu.edu> + + * upConv.m: Did not return correct size result when STOP argument + was passed. Thanks to hertzman@mrl.nyu.edu for pointing this out. + +Fri Sep 17 15:53:26 1999 Eero Simoncelli <eero.simoncelli@nyu.edu> + + * buildSFpyrLevs.m: Changed lutsize to 1024, giving a slight + increase in accuracy. + +Thu Feb 25 18:10:38 1999 Eero Simoncelli <eero.simoncelli@nyu.edu> + + * histo1.m: Modified histo.m to be more compatible (but still not + exactly the same) as the MEX file version. + +Fri Jun 12 21:15:39 1998 Eero Simoncelli <eero.simoncelli@nyu.edu> + + * TUTORIALS pyramids.m upgraded. + +Tue Feb 17 13:22:28 1998 Eero Simoncelli <eero.simoncelli@nyu.edu> + + * showIm.m: Dims are now printed followed by the zoom factor. + +Mon Oct 13 14:49:51 1997 Eero Simoncelli <eero@servilia.cns.nyu.edu> + + * mkSquare.m: Modified to do raised-cosine soft threshold + transitions. + +Tue Oct 7 10:13:51 1997 Eero Simoncelli <eero@chrysothemis.cims.nyu.edu> + + * upConv.m: Argument order was wrong (this function is not used + anyway, unless you don't compile the MEX code). - Thanks to + farid@psyche.mit.edu for pointing this out. + +Thu Sep 25 16:09:49 1997 Eero Simoncelli <eero@servilia.cns.nyu.edu> + + * MEX/wrap.c: Changed #include <malloc.h> to <stdlib.h>, as + suggested by David Brainard. * Incorporated Mac-compiled mex + files, courtesy of David Brainard. + +Sat Sep 6 16:10:25 1997 Eero Simoncelli <eero@chrysothemis.cims.nyu.edu> + + * MEX/convolve.h: abstracted out type of images with typedef image_type. + Added ansi declarations. + +Fri Aug 29 13:49:16 1997 Eero Simoncelli <eero@servilia.cns.nyu.edu> + + ** showIm.m: Modified to behave better under resizing (and printing): + resets axis units to "normalized". + +Thu Aug 28 22:56:52 1997 Eero Simoncelli <eero@servilia.cns.nyu.edu> + + ** MEX/edges.c: reflect1, reflect2, repeat, extend upgraded to work + properly for non-symmetric filters. reflect2 and extend were also + broken for upConv. Added qreflect2 to handle even-length QMF's + which broke under the reflect2 modification. + * Added example code to TUTORIALS/matlabPyrTools to illustrate the + boundary-handling behavior... + +Thu Aug 21 13:34:17 1997 Eero Simoncelli <eero@chrysothemis.cims.nyu.edu> + + * var2, skew2, kurt2: modified to return complex values for complex images. + * imStats.m: now gives an error for complex args. + +Thu Aug 14 15:24:29 1997 Eero Simoncelli <eero@servilia.cns.nyu.edu> + + * Modified shift.m: negated the meaning of the offset parameter, + such that RES=shift(MTX,OFFSET) means RES(POS)=MTX(POS-OFFSET) + (this is more intuitive). + +Thu Jul 10 17:06:52 1997 Eero Simoncelli <eero@servilia.cns.nyu.edu> + + * Modified MEX/Makefile-* to be consistent with matlab5: + - call mex instead of cmex + - use -V4 flag (creating matlab v4 compatible binaries) + + * showIm.m (xlbl_offset): Modified to use "points" units, so that + printed images look correct. Still slightly busted for arbitrary figure + window sizes and for printing. + + * Modified upConv.c: does not return ANYTHING if you pass a result + argument (this had been causing occasional problems with matlab's + memory manager). + +Mon Jun 30 12:09:30 1997 Eero Simoncelli <eero@servilia.cns.nyu.edu> + + * reconSFpyr.m (res): now returns real part (oops). + + * reconSpyrLevs.m (maxLev): got rid of superfluous nbands argument + (can be calculated from bfilts). + +Mon May 26 12:29:54 1997 Eero Simoncelli <eero@servilia.cns.nyu.edu> + + * showIm.m/pgmWrite.m: Modified 'auto3'-scaling to use a + histogram. This gives a significant speedup. + + * fixed a few minor bugs in the TUTORIALS, having to do with + matching image sizes to the machine speed... + +Sat May 10 17:27:25 1997 Eero Simoncelli <eero@servilia.cns.nyu.edu> + + * pgmWrite.m: fixed auto-scaling bug. Added new scaling + calculations, parallel to those of imShow. + +Fri May 9 09:02:56 1997 Eero Simoncelli <eero@servilia.cns.nyu.edu> + + * buildSFpyr.m: Changed NBANDS argument to be ORDER, which is one + less than the number of orientation bands. This is consistent + with the derivative order, and the labels on the spNFilters files. + +Tue May 6 19:08:18 1997 Eero Simoncelli <eero@servilia.cns.nyu.edu> + + ** Added buildSFpyr, reconSFpyr: Steerable pyramids constructed + in the Fourier domain. Radial functions tile, with a + raised-cosine falloff. Angular functions are + cos(theta-k\pi/(K+1))^K, where K is the order (number of bands + minus 1). Compared to the convolution version: + + Reconstruction is exact (within floating point errors) + + Can produce any number of orientation bands. + - Typically slower. + - Boundary-handling must be circular. + Could be made much more efficient by taking advantage of symmetries in + the fft! + + * Added example usage of Fourier steerable pyramid to TUTORIALS/pyramids.m + + * steer.m: fixed for harmonic lists including zero. + +Sun May 4 15:16:10 1997 Eero Simoncelli <eero@ferrando.cns.nyu.edu> + + * MEX/Makefile-linux: created. + + * spyrHt, spyrNumBands: Modified to return 0 for pyramids of height 0. + + * reconWpyr.m: utilize desctructive addition in calls to upConv. + + * reconSpyr.m: Added error check to ensure consistancy between + pyramid and filter file. Utilize destructive addition in upConv + call on highpass band. Modified to work properly with pyramids of + height 0. + +Mon Apr 28 13:38:10 1997 Eero Simoncelli <eero@ferrando.cns.nyu.edu> + + * lplot.m: modified to handle complex vectors, use standard MatLab + indices, and show minimal axes. Added xrange parameter to allow + adjustment of X axis labeling. + +Sun Apr 27 20:20:41 1997 Eero Simoncelli <eero@servilia.cns.nyu.edu> + + * var2, skew2, kurt2: enhanced to work on complex matrices. + +Sat Apr 26 11:16:12 1997 Eero Simoncelli <eero@servilia.cns.nyu.edu> + + * Changed parent directory (and distribution) name: + matlabImTools -> matlabPyrTools + + * namedFilter.m: Added two more Daubechies filters, and modified + names to match the reference (e.g., daub2 is now a 4-tap filter). + + * Added vectorize.m: trivial function to pack matrix into vector (i.e., + computes mtx(:)). + + * Added upBlur.m: Upsample and blur (parallels blurDn). + +Sun Apr 13 14:23:38 1997 Eero Simoncelli <eero@chrysothemis.cims.nyu.edu> + + * TUTORIALS/pyramids.m: Added plots of Fourier spectra for Wavelet bases. + + * make-tar-file: switched from compress to gzip for the + distribution tarfile. + + * namedFilter.m: Added a few even-length QMF's from Johnston80. + +Fri Apr 11 19:16:21 1997 Eero Simoncelli <eero@chrysothemis.cims.nyu.edu> + + * buildWpyr.m, reconWpyr.m: Modified slightly, so that subsampling + lattice is better for even-length filters. + + * TUTORIALS/pyramids.m: Substantially overhauled. + +Thu Apr 10 15:20:23 1997 Eero Simoncelli <eero@chrysothemis.cims.nyu.edu> + + * blurDn.m: added this function to downsample an image by a factor + 2^L. + + * Fixed minor bug in upConv.m: errors in image size checking. + +Mon Apr 7 13:25:37 1997 Eero Simoncelli <eero@servilia.cns.nyu.edu> + + * Changed TUTORIALS/matlabImTools.m to use histo.mex instead of + matlab's hist. + +Wed Apr 2 13:20:55 1997 Eero Simoncelli <eero@servilia.cns.nyu.edu> + + ** Incorporated Denis Pelli's ThinkC and MetroWorks projects for + Macintosh versions of the MEX code, along with MEX binaries. These + are included as an HQX'ed self-extracting archive + (Macintosh-MEX.sit.hqx), in the MEX subdirectory. + +Tue Apr 1 15:35:31 1997 Eero Simoncelli <eero@chrysothemis.cims.nyu.edu> + + * edges.c: modified by Denis Pelli to support THINK C. * edges.c: + + * histo.c, upConv.c, corrDn.c: minor changes in error message + printouts, to work around bugs in THINK C. + + * Included Denis Pelli's MacReadMe file in the MEX subdirectory, + which gives instructions for MEX file compilation on a MacIntosh + (PPC or 68k). + + * wrap.c, convolve.c, edges.c: added explicit int function + declarations, and return values. + + * range2.m/range2.c: A MEX function for fast min/max computation. + Adjusted entropy2.m, histo.m, imStats.m, pgmWrite.m, showIm.m, + showLpyr.m, showSpyr.m, showWpyr.m to call it. + +Thu Mar 27 17:23:05 1997 Eero Simoncelli <eero@servilia.cns.nyu.edu> + + ** histo.m/histo.c: Added MEX function HISTO, a fast replacement + for matlab's HIST function. Modified histoMatch.m, entropy2.m to + call it. + + * Changed main directory name to matlabImTools. + + * Added TUTORIALS/README file. + +Wed Mar 19 14:19:51 1997 Eero Simoncelli <eero@servilia.cns.nyu.edu> + + * Changed directory name: MEX_SRC -> MEX + +Wed Mar 12 17:00:03 1997 Eero Simoncelli <eero@servilia.cns.nyu.edu> + + * mkGaussian.m: fixed another (X,Y) bug: both dimensions and + cov/mean are now specified in [y,x] order. + +Tue Mar 11 19:08:17 1997 Eero Simoncelli <eero@chrysothemis.cims.nyu.edu> + + * showSpyr.m: Fixed a bug that was dropping display of one + orientation band when there were more than 2 of them! + +Mon Mar 10 19:08:24 1997 Eero Simoncelli <eero@chrysothemis.cims.nyu.edu> + + * Added shift.m + + * makeSteerMtx -> steerDir2HarmMtx + + * Added TUTORIALS/matlab-EPS.m: examples using the code in this + distribution. + +Sun Mar 9 17:49:18 1997 Eero Simoncelli <eero@servilia.cns.nyu.edu> + + ** showIm.m: + - args: changed order so that NSHADES is last. + - TITLES: Can now pass a string for IM, which will be evaluated + in the global environment to get the matrix. The string is + used as a title. MATLAB v.5 ONLY!!! + - Added 'auto3' RANGE value, that scales based on percentiles. + THis is more robust to outliers than 'auto2' or 'auto1'. + + * pixelAxes.m: Made a more serious attempt to reverse-engineer + Mathworks' image pixelization. It is improved, but still makes + occasional errors. + + * Added skew2.m. + +Fri Mar 7 10:11:07 1997 Eero Simoncelli <eero@servilia.cns.nyu.edu> + + * pixelAxes.m: Modified to take an optional + ZOOM argument. Fixed dimension ordering bug + (positions are reported (x,y), but mtx dims are (y,x)!) + + * showIm.m: Added an optional ZOOM argument. + +Thu Mar 6 14:17:19 1997 Eero Simoncelli <eero@servilia.cns.nyu.edu> + + * Added showLpyr, showWpyr, showSpyr. Modified + TUTORIALS/pyramids.m to use them. + + * added pixelAxes.m: Adjusts size (in pixels) of currently + displayed image to be a multiple of the matrix dimensions, + thus eliminating display aliasing artifacts. + This is now called by all the "show" commands. + +Mon Mar 3 17:33:25 1997 Eero Simoncelli <eero@servilia.cns.nyu.edu> + + * Fixed bug in pgmWrite (dimensions were written in reverse order). + + * Fixed bug in showIm (X and Y coords were swapped on label display). + + * Fixed bug in reconLpyr (swapped X and Y coords on int_sz) + + * Changed calls to "reshape" to pass dimensions individually -- + older version of matlab do not accept the reshape(mtx,[y x]) form. + + * Fixed bug in mkDisc: sz a scalar. + + * Added ifftshift.m + +Fri Feb 28 11:07:20 1997 Eero Simoncelli <eero@servilia.cns.nyu.edu> + + * Re-worked TUTORIALS/pyramids.m + + * buildGpyr and buildLpyr now use 1+maxPyrHt for default height. + + * Fixed buildGpyr to work on 1D signals. + + ** Gaussian/Laplacian/Wavelet pyramid build and recon functions: + - work properly with new corrDn/upConv. + - use separable convolutions + - use destructive modification ability of upConv (less memory + allocation) + + * modulateFlipShift -> modulateFlip. + + * added lpyrHt, wpyrHt, spyrHt to return number of levels in a pyramid. + +Thu Feb 27 15:39:53 1997 Eero Simoncelli <eero@servilia.cns.nyu.edu> + + * Changed angular coordinate systems to CLOCKWISE in mkRamp, + mkTheta, mkSine, mkSquare. This is unnatural for screen viewing, + but consistent with an origin in the upper left corner of the + image, which is the way one addresses the underlying matrix. + + * mkSine and mkSquare can now take a frequency vector or the + period and direction args + +Tue Feb 25 11:58:33 1997 Eero Simoncelli <eero@servilia.cns.nyu.edu> + + ** Rewrote corrDn/upConv C routines: + - more efficient + - changed START parameters to have [1 1] origin, consistent with + matlab + - added STOP parameters + - upConv allows destructive modification of a result arg + - changed order of other params (sorry) + - wrote test file conv_test.m + * wrote zconv2.m + +Wed Aug 19 20:39:15 1996 Eero Simoncelli (eero@tarpon.cis.upenn.edu) + + ** Added "pointOp" function (MUCH faster than interp1). + ** Added "histoMatch" function. + +Fri Aug 2 00:56:31 1996 Eero Simoncelli (eero@tarpon.cis.upenn.edu) + + * Changed all function/file-names to be of the form "fooBar". * + Fixed entropy2.m (busted due to typo). + +Original convolution code was written in Spring 1986, and comes from +OBVIUS (Object-Based Vision and Image Understanding System), an +interactive image-processing system written in Common Lisp (with calls +to C code). + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/Contents.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/Contents.m new file mode 100644 index 0000000..d19f067 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/Contents.m @@ -0,0 +1,107 @@ +% Image and Multi-scale Pyramid Tools +% Version 1.3, October 2004. +% Created: Early Spring, 1996. Eero Simoncelli, eero.simoncelli@nyu.edu +% +% See README file for brief description. +% See ChangeLog file for latest modifications. +% See TUTORIALS subdirectory for demonstrations. +% Type "help <command-name>" for documentation on individual commands. +% ----------------------------------------------------------------- +% Synthetic Images (matrices): +% mkImpulse - Make an image containing an impulse. +% mkRamp - Make an image containing a ramp function. +% mkR - Make an image containing distance from the origin. +% mkAngle - Make an image containing angle about origin. +% mkDisc - Make an image containing a disk image. +% mkGaussian - Make an image containing a Gaussian function. +% mkZonePlate - Make an image containing a zone plate (cos(r^2)). +% mkAngularSine - Make an image containing an angular sine wave (pinwheel). +% mkSine - Make an image containing a sine grating. +% mkSquare - Make an image containing a square grating. +% mkFract - Make an image containing fractal (1/f) noise. +% +% Point Operations: +% clip - clip values to a range. +% pointOp - Lookup table (much faster than interp1) [MEX file] +% histo - Efficient histogram computation [MEX file] +% histoMatch - Modify matrix elements to match specified histogram stats. +% +% Convolution (first two are significantly faster): +% corrDn - Correlate & downsample with boundary-handling [MEX file] +% upConv - Upsample & convolve with boundary-handling [MEX file] +% blurDn - Blur and subsample a signal/image. +% upBlur - Upsample and blur a signal/image. +% blur - Multi-scale blurring, calls blurDn and then upBlur. +% cconv2 - Circular convolution. +% rconv2 - Convolution with reflected boundaries. +% zconv2 - Convolution assuming zeros beyond image boundaries. +% +% General pyramids: +% pyrLow - Access lowpass subband from (any type of) pyramid +% pyrBand - Access a subband from (any type of) pyramid +% setPyrBand - Insert an image into (any type of) pyramid as a subband +% pyrBandIndices - Returns indices for given band in a pyramid vector +% maxPyrHt - compute maximum number of scales in a pyramid +% +% Gaussian/Laplacian Pyramids: +% buildGpyr - Build a Gaussian pyramid of an input signal/image. +% buildLpyr - Build a Laplacian pyramid of an input signal/image. +% reconLpyr - Reconstruct (invert) the Laplacian pyramid transform. +% +% Separable orthonormal QMF/wavelet Pyramids: +% buildWpyr - Build a separable wavelet representation of an input signal/image. +% reconWpyr - Reconstruct (invert) the wavelet transform. +% wpyrBand - Extract a single band of the wavelet representation. +% wpyrLev - Extract (packed) subbands at a particular level +% wpyrHt - Number of levels (height) of a wavelet pyramid. +% +% Steerable Pyramids: +% buildSpyr - Build a steerable pyramid representation of an input image. +% reconSpyr - Reconstruct (invert) the steerable pyramid transform. +% buildSFpyr - Build a steerable pyramid representation in the Fourier domain. +% reconSFpyr - Reconstruct (invert) the (Fourier domain) steerable pyramid transform. +% spyrBand - Extract a single band from a steerable pyramid. +% spyrHigh - Highpass residual band. +% spyrLev - A whole level (i.e., all images at a given scale) of a steerable pyramid. +% spyrHt - Number of levels (height) of a steerable pyramid. +% spyrNumBands - Number of orientation bands in a steerable pyramid. +% +% Steerable filters / derivatives: +% imGradient - Compute gradient of image using directionally accurete filters. +% steer - Steer filters (or responses). +% steer2HarmMtx - Construct a matrix mapping direcional basis to angular harmonics. +% +% Filters: +% binomialFilter - returns a filter of binomial coefficients. +% namedFilter - some typical Laplacian/Wavelet pyramid filters +% spNFilters - Set of Nth order steerable pyramid filters. +% derivNFiltersS - Matched set of S-tap 1D derivatives, orders 0 to N. +% +% Display: +% showIm - Display a matrix (real or complex) as grayscale image(s). +% Displays dimensions, subsampling, and range of pixel values. +% showLpyr - Display a Laplacian pyramid. +% showWpyr - Display a separable wavelet pyramid. +% showSpyr - Display a steerable pyramid. +% lplot - "lollipop" plot. +% nextFig - Make next figure window current. +% pixelAxes - Make image display use an integer number of pixels +% per sample to avoid resampling artifacts. +% +% Statistics (for 2D Matrices): +% range2 - Min and max of image (matrix) [MEX file] +% mean2 - Sample mean of an image (matrix). +% var2 - Sample variance of an image (matrix). +% skew2 - Sample skew (3rd moment / variance^1.5) of an image (matrix). +% kurt2 - Sample kurtosis (4th moment / variance^2) of an image (matrix). +% entropy2 - Sample entropy of an image (matrix). +% imStats - Report sample statistics of an image, or pair of images. +% +% Miscellaneous: +% pgmRead - Load a "pgm" image into a MatLab matrix [try einstein.pgm,feynman.pgm] +% pgmWrite - Write a MatLab matrix to a "pgm" image file. +% shift - circular shift a 2D matrix by an arbitrary amount. +% vectify - pack matrix into column vector (i.e., function to compute mtx(:)). +% ifftshift - inverse of MatLab's FFTSHIFT (differs for odd-length dimensions) +% rcosFn - return a lookup table of a raised-cosine threshold fn. +% innerProd - Compute M'*M efficiently (i.e., do not copy) [MEX file] diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/-MacReadMe b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/-MacReadMe new file mode 100644 index 0000000..898dc0c --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/-MacReadMe @@ -0,0 +1 @@ +MacReadMe How to compile a MEX file for Macintosh (Based on a similar note written by David Brainard and Denis Pelli to accompany the Psychophysics Toolbox.) A MEX file (short for "MATLAB extension") contains code that implements a new MATLAB function, allowing users to use the full power of the C language and the Macintosh hardware and operating system in implementing a new MATLAB function. This document explains how to produce a MEX file that is "fat" (i.e. will run as native code on both 68K and PowerPC Macs) and is compatible with both MATLAB 4 and 5. 1) To produce a MATLAB MEX file with PowerPC code you must have the Metrowerks CodeWarrior C compiler (version 10 or better, abbreviated as CW below). To produce 68K code we still use the Symantec THINK C compiler (version from Symantec C++ 8 CD-ROM release 5), but we will soon be switching to Metrowerks CodeWarrior. (See note A below.) 2) Place a copy of the MATLAB 4:Extern folder, supplied by Mathworks, on your compiler's search path. We suggest that you name the copy "MEX V4". (See notes B and C, below.) 3) Build any of the MEX files simply by opening its project file and asking your compiler to "Build Code Resource" (in THINK C) or to "Make" it (in CW). For each MEX file, e.g. histo.mex, there are two associated projects, e.g. histo.µ for CW, and histo.¹.4 for THINK C. To build a "fat" MEX, that runs native on both 68K and PowerPC, you should first compile in THINK C, and then in CW. (See note A, below.) Denis Pelli April 2, 1997 Notes A) The Mathworks support only the THINK C compiler to make 68K MEX code for MATLAB version 4 and only the CW compiler to make PPC MEX files for MATLAB 4 and both 68K and PPC for MATLAB 5. This archive includes THINK and CW projects. To build a fat MEX file for MATLAB 4, first "make" the THINK C version (e.g. histo.¹.4), producing a file with a .rsrc extension (e.g. histo.µ.rsrc). This is the 68K MEX file. When you then "make" histo.µ, the CW project incorporates the .rsrc file and generates a "fat" MEX file that will run native (i.e. fast) on both 68K and PowerPC. To make a 68K-only MEX file, simply rename, e.g., histo.µ.rsrc to histo.mex after you make the THINK project, and set the file type and creator to match the other MEX files. THINK C is slow and hard to work with. Symantec hasn't significantly upgraded in it many years. There is an error in the math.h header (version from Symantec C++ 8 CD-ROM release 5). We fix that error by some tricky preprocessor defines and undefines in the THINK C Prefix in each of the THINK projects. B) The easiest way to put a folder on your compilerÕs search path is simply to put the folder in the same folder as the compiler itself. If you want to use both CW and THINK C, then put the folder under CW, make an alias of it, and put the alias in THINK C's "Aliases" folder. C) Happily, MATLAB 5 is capable of running both V4 and V5 MEX files. Thus we are currently distributing sources that compile into V4 MEX files. The resulting MEX files run both under V4 and V5. In the future we will drop support for V4 and THINK C. 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0000000000000000000000000000000000000000..ab2c6846789c5681cd5544fd3e407c6648761ab9 GIT binary patch literal 6 KcmZQz009611^@v7 literal 0 HcmV?d00001 diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/Makefile-linux b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/Makefile-linux new file mode 100644 index 0000000..726dd31 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/Makefile-linux @@ -0,0 +1,39 @@ +MLAB = /usr/local/matlab5.1 + +MXSFX = mexlx +MEX = ${MLAB}/bin/mex + +MFLAGS = -V4 +INC = -I ${MLAB}/extern/include +LIB = -L ${MLAB}/extern/lib + +CC = gcc -Wall -pedantic +C_OPTIMIZE_SWITCH = -O2 ## For GCC +CFLAGS = ${C_OPTIMIZE_SWITCH} ${INC} ${LIB} + +all: corrDn.${MXSFX} upConv.${MXSFX} pointOp.${MXSFX} \ + histo.${MXSFX} range2.${MXSFX} + +clean: + /bin/rm *.o + +corrDn.${MXSFX}: corrDn.o wrap.o convolve.o edges.o + ${MEX} ${MFLAGS} corrDn.o wrap.o convolve.o edges.o + +upConv.${MXSFX}: upConv.o wrap.o convolve.o edges.o + ${MEX} ${MFLAGS} upConv.o wrap.o convolve.o edges.o + +pointOp.${MXSFX}: pointOp.o + ${MEX} ${MFLAGS} pointOp.o + +histo.${MXSFX}: histo.o + ${MEX} ${MFLAGS} histo.o + +range2.${MXSFX}: range2.o + ${MEX} ${MFLAGS} range2.o + +convolve.o wrap.o edges.o: convolve.h + +%.o : %.c + ${CC} -c ${CFLAGS} $< + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/Makefile-ml6-linux b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/Makefile-ml6-linux new file mode 100644 index 0000000..f596ad7 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/Makefile-ml6-linux @@ -0,0 +1,39 @@ +MLAB = /usr/local/matlab6.0 + +MXSFX = mexglx +MEX = ${MLAB}/bin/mex + +MFLAGS = -V4 +INC = -I ${MLAB}/extern/include +LIB = -L ${MLAB}/extern/lib + +CC = gcc -Wall -pedantic +C_OPTIMIZE_SWITCH = -O2 ## For GCC +CFLAGS = ${C_OPTIMIZE_SWITCH} ${INC} ${LIB} + +all: corrDn.${MXSFX} upConv.${MXSFX} pointOp.${MXSFX} \ + histo.${MXSFX} range2.${MXSFX} + +clean: + /bin/rm *.o + +corrDn.${MXSFX}: corrDn.o wrap.o convolve.o edges.o + ${MEX} ${MFLAGS} corrDn.o wrap.o convolve.o edges.o + +upConv.${MXSFX}: upConv.o wrap.o convolve.o edges.o + ${MEX} ${MFLAGS} upConv.o wrap.o convolve.o edges.o + +pointOp.${MXSFX}: pointOp.o + ${MEX} ${MFLAGS} pointOp.o + +histo.${MXSFX}: histo.o + ${MEX} ${MFLAGS} histo.o + +range2.${MXSFX}: range2.o + ${MEX} ${MFLAGS} range2.o + +convolve.o wrap.o edges.o: convolve.h + +%.o : %.c + ${CC} -c ${CFLAGS} $< + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/Makefile-osx b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/Makefile-osx new file mode 100644 index 0000000..352d15b --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/Makefile-osx @@ -0,0 +1,39 @@ +MLAB = /share/wotan/matlab13 + +MXSFX = mexosx +MEX = ${MLAB}/bin/mex + +MFLAGS = +INC = -I ${MLAB}/extern/include +LIB = -L ${MLAB}/extern/lib + +CC = cc -Wall -pedantic -no-cpp-precomp +C_OPTIMIZE_SWITCH = -O2 ## For GCC +CFLAGS = ${C_OPTIMIZE_SWITCH} ${INC} ${LIB} + +all: corrDn.${MXSFX} upConv.${MXSFX} pointOp.${MXSFX} \ + histo.${MXSFX} range2.${MXSFX} + +clean: + /bin/rm *.o + +corrDn.${MXSFX}: corrDn.o wrap.o convolve.o edges.o + ${MEX} ${MFLAGS} corrDn.o wrap.o convolve.o edges.o + +upConv.${MXSFX}: upConv.o wrap.o convolve.o edges.o + ${MEX} ${MFLAGS} upConv.o wrap.o convolve.o edges.o + +pointOp.${MXSFX}: pointOp.o + ${MEX} ${MFLAGS} pointOp.o + +histo.${MXSFX}: histo.o + ${MEX} ${MFLAGS} histo.o + +range2.${MXSFX}: range2.o + ${MEX} ${MFLAGS} range2.o + +convolve.o wrap.o edges.o: convolve.h + +%.o : %.c + ${CC} -c ${CFLAGS} $< + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/Makefile-solaris b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/Makefile-solaris new file mode 100644 index 0000000..2be2bdb --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/Makefile-solaris @@ -0,0 +1,38 @@ +MLAB = /export/home/Solaris2/matlab5.1 + +MXSFX = mexsol +MEX = ${MLAB}/bin/mex + +MFLAGS = -V4 +INC = -I ${MLAB}/extern/include +LIB = -L ${MLAB}/extern/lib + +CC = gcc -Wall -pedantic +C_OPTIMIZE_SWITCH = -O2 ## For GCC +CFLAGS = ${C_OPTIMIZE_SWITCH} ${INC} ${LIB} + +all: corrDn.${MXSFX} upConv.${MXSFX} pointOp.${MXSFX} \ + histo.${MXSFX} range2.${MXSFX} + +clean: + /bin/rm *.o + +corrDn.${MXSFX}: corrDn.o wrap.o convolve.o edges.o + ${MEX} ${MFLAGS} corrDn.o wrap.o convolve.o edges.o + +upConv.${MXSFX}: upConv.o wrap.o convolve.o edges.o + ${MEX} ${MFLAGS} upConv.o wrap.o convolve.o edges.o + +pointOp.${MXSFX}: pointOp.o + ${MEX} ${MFLAGS} pointOp.o + +histo.${MXSFX}: histo.o + ${MEX} ${MFLAGS} histo.o + +range2.${MXSFX}: range2.o + ${MEX} ${MFLAGS} range2.o + +convolve.o wrap.o edges.o: convolve.h + +%.o : %.c + ${CC} -c ${CFLAGS} $< diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/Makefile-sun4 b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/Makefile-sun4 new file mode 100644 index 0000000..432b181 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/Makefile-sun4 @@ -0,0 +1,39 @@ +MLAB = /home/alberich/matlab4 + +MXSFX = mex4 +MEX = ${MLAB}/bin/cmex + +MFLAGS = +INC = -I ${MLAB}/extern/include +LIB = -L ${MLAB}/extern/lib/sun4 + +CC = gcc +C_OPTIMIZE_SWITCH = -O2 ## For GCC +CFLAGS = ${C_OPTIMIZE_SWITCH} ${INC} ${LIB} + +all: corrDn.${MXSFX} upConv.${MXSFX} pointOp.${MXSFX} \ + histo.${MXSFX} range2.${MXSFX} + +clean: + /bin/rm *.o + +corrDn.${MXSFX}: corrDn.o wrap.o convolve.o edges.o + ${MEX} ${MFLAGS} corrDn.o wrap.o convolve.o edges.o + +upConv.${MXSFX}: upConv.o wrap.o convolve.o edges.o + ${MEX} ${MFLAGS} upConv.o wrap.o convolve.o edges.o + +pointOp.${MXSFX}: pointOp.o + ${MEX} ${MFLAGS} pointOp.o + +histo.${MXSFX}: histo.o + ${MEX} ${MFLAGS} histo.o + +range2.${MXSFX}: range2.o + ${MEX} ${MFLAGS} range2.o + +convolve.o wrap.o edges.o: convolve.h + +%.o : %.c + ${CC} -c ${CFLAGS} $< + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/convolve.c b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/convolve.c new file mode 100644 index 0000000..60a11a4 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/convolve.c @@ -0,0 +1,325 @@ +/* +;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;;; File: convolve.c +;;; Author: Eero Simoncelli +;;; Description: General convolution code for 2D images +;;; Creation Date: Spring, 1987. +;;; MODIFICATIONS: +;;; 10/89: approximately optimized the choice of register vars on SPARCS. +;;; 6/96: Switched array types to double float. +;;; 2/97: made more robust and readable. Added STOP arguments. +;;; 8/97: Bug: when calling internal_reduce with edges in {reflect1,repeat, +;;; extend} and an even filter dimension. Solution: embed the filter +;;; in the upper-left corner of a filter with odd Y and X dimensions. +;;; ---------------------------------------------------------------- +;;; Object-Based Vision and Image Understanding System (OBVIUS), +;;; Copyright 1988, Vision Science Group, Media Laboratory, +;;; Massachusetts Institute of Technology. +;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +*/ + +#include <stdio.h> +#include <math.h> +#include "convolve.h" + +/* + -------------------------------------------------------------------- + Correlate FILT with IMAGE, subsampling according to START, STEP, and + STOP parameters, with values placed into RESULT array. RESULT + dimensions should be ceil((stop-start)/step). TEMP should be a + pointer to a temporary double array the size of the filter. + EDGES is a string specifying how to handle boundaries -- see edges.c. + The convolution is done in 9 sections, where the border sections use + specially computed edge-handling filters (see edges.c). The origin + of the filter is assumed to be (floor(x_fdim/2), floor(y_fdim/2)). +------------------------------------------------------------------------ */ + +/* abstract out the inner product computation */ +#define INPROD(XCNR,YCNR) \ + { \ + sum=0.0; \ + for (im_pos=YCNR*x_dim+XCNR, filt_pos=0, x_filt_stop=x_fdim; \ + x_filt_stop<=filt_size; \ + im_pos+=(x_dim-x_fdim), x_filt_stop+=x_fdim) \ + for (; \ + filt_pos<x_filt_stop; \ + filt_pos++, im_pos++) \ + sum+= image[im_pos]*temp[filt_pos]; \ + result[res_pos] = sum; \ + } + +int internal_reduce(image, x_dim, y_dim, filt, temp, x_fdim, y_fdim, + x_start, x_step, x_stop, y_start, y_step, y_stop, + result, edges) + register image_type *image, *temp; + register int x_fdim, x_dim; + register image_type *result; + register int x_step, y_step; + int x_start, y_start; + int x_stop, y_stop; + image_type *filt; + int y_dim, y_fdim; + char *edges; + { + register double sum; + register int filt_pos, im_pos, x_filt_stop; + register int x_pos, filt_size = x_fdim*y_fdim; + register int y_pos, res_pos; + register int y_ctr_stop = y_dim - ((y_fdim==1)?0:y_fdim); + register int x_ctr_stop = x_dim - ((x_fdim==1)?0:x_fdim); + register int x_res_dim = (x_stop-x_start+x_step-1)/x_step; + int x_ctr_start = ((x_fdim==1)?0:1); + int y_ctr_start = ((y_fdim==1)?0:1); + int x_fmid = x_fdim/2; + int y_fmid = y_fdim/2; + int base_res_pos; + fptr reflect = edge_function(edges); /* look up edge-handling function */ + + if (!reflect) return(-1); + + /* shift start/stop coords to filter upper left hand corner */ + x_start -= x_fmid; y_start -= y_fmid; + x_stop -= x_fmid; y_stop -= y_fmid; + + if (x_stop < x_ctr_stop) x_ctr_stop = x_stop; + if (y_stop < y_ctr_stop) y_ctr_stop = y_stop; + + for (res_pos=0, y_pos=y_start; /* TOP ROWS */ + y_pos<y_ctr_start; + y_pos+=y_step) + { + for (x_pos=x_start; /* TOP-LEFT CORNER */ + x_pos<x_ctr_start; + x_pos+=x_step, res_pos++) + { + (*reflect)(filt,x_fdim,y_fdim,x_pos-1,y_pos-1,temp,REDUCE); + INPROD(0,0) + } + + (*reflect)(filt,x_fdim,y_fdim,0,y_pos-1,temp,REDUCE); + for (; /* TOP EDGE */ + x_pos<x_ctr_stop; + x_pos+=x_step, res_pos++) + INPROD(x_pos,0) + + for (; /* TOP-RIGHT CORNER */ + x_pos<x_stop; + x_pos+=x_step, res_pos++) + { + (*reflect)(filt,x_fdim,y_fdim,x_pos-x_ctr_stop+1,y_pos-1,temp,REDUCE); + INPROD(x_ctr_stop,0) + } + } /* end TOP ROWS */ + + y_ctr_start = y_pos; /* hold location of top */ + for (base_res_pos=res_pos, x_pos=x_start; /* LEFT EDGE */ + x_pos<x_ctr_start; + x_pos+=x_step, base_res_pos++) + { + (*reflect)(filt,x_fdim,y_fdim,x_pos-1,0,temp,REDUCE); + for (y_pos=y_ctr_start, res_pos=base_res_pos; + y_pos<y_ctr_stop; + y_pos+=y_step, res_pos+=x_res_dim) + INPROD(0,y_pos) + } + + (*reflect)(filt,x_fdim,y_fdim,0,0,temp,REDUCE); + for (; /* CENTER */ + x_pos<x_ctr_stop; + x_pos+=x_step, base_res_pos++) + for (y_pos=y_ctr_start, res_pos=base_res_pos; + y_pos<y_ctr_stop; + y_pos+=y_step, res_pos+=x_res_dim) + INPROD(x_pos,y_pos) + + for (; /* RIGHT EDGE */ + x_pos<x_stop; + x_pos+=x_step, base_res_pos++) + { + (*reflect)(filt,x_fdim,y_fdim,x_pos-x_ctr_stop+1,0,temp,REDUCE); + for (y_pos=y_ctr_start, res_pos=base_res_pos; + y_pos<y_ctr_stop; + y_pos+=y_step, res_pos+=x_res_dim) + INPROD(x_ctr_stop,y_pos) + } + + for (res_pos-=(x_res_dim-1); + y_pos<y_stop; /* BOTTOM ROWS */ + y_pos+=y_step) + { + for (x_pos=x_start; /* BOTTOM-LEFT CORNER */ + x_pos<x_ctr_start; + x_pos+=x_step, res_pos++) + { + (*reflect)(filt,x_fdim,y_fdim,x_pos-1,y_pos-y_ctr_stop+1,temp,REDUCE); + INPROD(0,y_ctr_stop) + } + + (*reflect)(filt,x_fdim,y_fdim,0,y_pos-y_ctr_stop+1,temp,REDUCE); + for (; /* BOTTOM EDGE */ + x_pos<x_ctr_stop; + x_pos+=x_step, res_pos++) + INPROD(x_pos,y_ctr_stop) + + for (; /* BOTTOM-RIGHT CORNER */ + x_pos<x_stop; + x_pos+=x_step, res_pos++) + { + (*reflect)(filt,x_fdim,y_fdim,x_pos-x_ctr_stop+1,y_pos-y_ctr_stop+1,temp,REDUCE); + INPROD(x_ctr_stop,y_ctr_stop) + } + } /* end BOTTOM */ + return(0); + } /* end of internal_reduce */ + + +/* + -------------------------------------------------------------------- + Upsample IMAGE according to START,STEP, and STOP parameters and then + convolve with FILT, adding values into RESULT array. IMAGE + dimensions should be ceil((stop-start)/step). See + description of internal_reduce (above). + + WARNING: this subroutine destructively modifies the RESULT array! + ------------------------------------------------------------------------ */ + +/* abstract out the inner product computation */ +#define INPROD2(XCNR,YCNR) \ + { \ + val = image[im_pos]; \ + for (res_pos=YCNR*x_dim+XCNR, filt_pos=0, x_filt_stop=x_fdim; \ + x_filt_stop<=filt_size; \ + res_pos+=(x_dim-x_fdim), x_filt_stop+=x_fdim) \ + for (; \ + filt_pos<x_filt_stop; \ + filt_pos++, res_pos++) \ + result[res_pos] += val*temp[filt_pos]; \ + } + +int internal_expand(image,filt,temp,x_fdim,y_fdim, + x_start,x_step,x_stop,y_start,y_step,y_stop, + result,x_dim,y_dim,edges) + register image_type *result, *temp; + register int x_fdim, x_dim; + register int x_step, y_step; + register image_type *image; + int x_start, y_start; + image_type *filt; + int y_fdim, y_dim; + char *edges; + { + register double val; + register int filt_pos, res_pos, x_filt_stop; + register int x_pos, filt_size = x_fdim*y_fdim; + register int y_pos, im_pos; + register int x_ctr_stop = x_dim - ((x_fdim==1)?0:x_fdim); + int y_ctr_stop = (y_dim - ((y_fdim==1)?0:y_fdim)); + int x_ctr_start = ((x_fdim==1)?0:1); + int y_ctr_start = ((y_fdim==1)?0:1); + int x_fmid = x_fdim/2; + int y_fmid = y_fdim/2; + int base_im_pos, x_im_dim = (x_stop-x_start+x_step-1)/x_step; + fptr reflect = edge_function(edges); /* look up edge-handling function */ + + if (!reflect) return(-1); + + /* shift start/stop coords to filter upper left hand corner */ + x_start -= x_fmid; y_start -= y_fmid; + x_stop -= x_fmid; y_stop -= y_fmid; + + if (x_stop < x_ctr_stop) x_ctr_stop = x_stop; + if (y_stop < y_ctr_stop) y_ctr_stop = y_stop; + + for (im_pos=0, y_pos=y_start; /* TOP ROWS */ + y_pos<y_ctr_start; + y_pos+=y_step) + { + for (x_pos=x_start; /* TOP-LEFT CORNER */ + x_pos<x_ctr_start; + x_pos+=x_step, im_pos++) + { + (*reflect)(filt,x_fdim,y_fdim,x_pos-1,y_pos-1,temp,EXPAND); + INPROD2(0,0) + } + + (*reflect)(filt,x_fdim,y_fdim,0,y_pos-1,temp,EXPAND); + for (; /* TOP EDGE */ + x_pos<x_ctr_stop; + x_pos+=x_step, im_pos++) + INPROD2(x_pos,0) + + for (; /* TOP-RIGHT CORNER */ + x_pos<x_stop; + x_pos+=x_step, im_pos++) + { + (*reflect)(filt,x_fdim,y_fdim,x_pos-x_ctr_stop+1,y_pos-1,temp,EXPAND); + INPROD2(x_ctr_stop,0) + } + } /* end TOP ROWS */ + + y_ctr_start = y_pos; /* hold location of top */ + for (base_im_pos=im_pos, x_pos=x_start; /* LEFT EDGE */ + x_pos<x_ctr_start; + x_pos+=x_step, base_im_pos++) + { + (*reflect)(filt,x_fdim,y_fdim,x_pos-1,0,temp,EXPAND); + for (y_pos=y_ctr_start, im_pos=base_im_pos; + y_pos<y_ctr_stop; + y_pos+=y_step, im_pos+=x_im_dim) + INPROD2(0,y_pos) + } + + (*reflect)(filt,x_fdim,y_fdim,0,0,temp,EXPAND); + for (; /* CENTER */ + x_pos<x_ctr_stop; + x_pos+=x_step, base_im_pos++) + for (y_pos=y_ctr_start, im_pos=base_im_pos; + y_pos<y_ctr_stop; + y_pos+=y_step, im_pos+=x_im_dim) + INPROD2(x_pos,y_pos) + + for (; /* RIGHT EDGE */ + x_pos<x_stop; + x_pos+=x_step, base_im_pos++) + { + (*reflect)(filt,x_fdim,y_fdim,x_pos-x_ctr_stop+1,0,temp,EXPAND); + for (y_pos=y_ctr_start, im_pos=base_im_pos; + y_pos<y_ctr_stop; + y_pos+=y_step, im_pos+=x_im_dim) + INPROD2(x_ctr_stop,y_pos) + } + + for (im_pos-=(x_im_dim-1); + y_pos<y_stop; /* BOTTOM ROWS */ + y_pos+=y_step) + { + for (x_pos=x_start; /* BOTTOM-LEFT CORNER */ + x_pos<x_ctr_start; + x_pos+=x_step, im_pos++) + { + (*reflect)(filt,x_fdim,y_fdim,x_pos-1,y_pos-y_ctr_stop+1,temp,EXPAND); + INPROD2(0,y_ctr_stop) + } + + (*reflect)(filt,x_fdim,y_fdim,0,y_pos-y_ctr_stop+1,temp,EXPAND); + for (; /* BOTTOM EDGE */ + x_pos<x_ctr_stop; + x_pos+=x_step, im_pos++) + INPROD2(x_pos,y_ctr_stop) + + for (; /* BOTTOM-RIGHT CORNER */ + x_pos<x_stop; + x_pos+=x_step, im_pos++) + { + (*reflect)(filt,x_fdim,y_fdim,x_pos-x_ctr_stop+1,y_pos-y_ctr_stop+1,temp,EXPAND); + INPROD2(x_ctr_stop,y_ctr_stop) + } + } /* end BOTTOM */ + return(0); + } /* end of internal_expand */ + + +/* Local Variables: */ +/* buffer-read-only: t */ +/* End: */ + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/convolve.h b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/convolve.h new file mode 100644 index 0000000..48d55f7 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/convolve.h @@ -0,0 +1,55 @@ +/* +;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;;; File: convolve.h +;;; Author: Simoncelli +;;; Description: Header file for convolve.c +;;; Creation Date: +;;; ---------------------------------------------------------------- +;;; Object-Based Vision and Image Understanding System (OBVIUS), +;;; Copyright 1988, Vision Science Group, Media Laboratory, +;;; Massachusetts Institute of Technology. +;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +*/ + +#include <stdio.h> +#include <stdlib.h> + +#define ABS(x) (((x)>=0) ? (x) : (-(x))) +#define ROOT2 1.4142135623730951 +#define REDUCE 0 +#define EXPAND 1 +#define IS == +#define ISNT != +#define AND && +#define OR || + +typedef int (*fptr)(); + +typedef struct + { + char *name; + fptr func; + } EDGE_HANDLER; + +typedef double image_type; + +fptr edge_function(char *edges); +int internal_reduce(image_type *image, int x_idim, int y_idim, + image_type *filt, image_type *temp, int x_fdim, int y_fdim, + int x_start, int x_step, int x_stop, + int y_start, int y_step, int y_stop, + image_type *result, char *edges); +int internal_expand(image_type *image, + image_type *filt, image_type *temp, int x_fdim, int y_fdim, + int x_start, int x_step, int x_stop, + int y_start, int y_step, int y_stop, + image_type *result, int x_rdim, int y_rdim, char *edges); +int internal_wrap_reduce(image_type *image, int x_idim, int y_idim, + image_type *filt, int x_fdim, int y_fdim, + int x_start, int x_step, int x_stop, + int y_start, int y_step, int y_stop, + image_type *result); +int internal_wrap_expand(image_type *image, image_type *filt, int x_fdim, int y_fdim, + int x_start, int x_step, int x_stop, + int y_start, int y_step, int y_stop, + image_type *result, int x_rdim, int y_rdim); diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/corrDn.c b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/corrDn.c new file mode 100644 index 0000000..c74df1f --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/corrDn.c @@ -0,0 +1,145 @@ +/* +RES = corrDn(IM, FILT, EDGES, STEP, START, STOP); + >>> See corrDn.m for documentation <<< + This is a matlab interface to the internal_reduce function. + EPS, 7/96. +*/ + +#define V4_COMPAT +#include <matrix.h> /* Matlab matrices */ +#include <mex.h> + +#include "convolve.h" + +#define notDblMtx(it) (!mxIsNumeric(it) || !mxIsDouble(it) || mxIsSparse(it) || mxIsComplex(it)) + +void mexFunction(int nlhs, /* Num return vals on lhs */ + mxArray *plhs[], /* Matrices on lhs */ + int nrhs, /* Num args on rhs */ + const mxArray *prhs[] /* Matrices on rhs */ + ) + { + double *image,*filt, *temp, *result; + int x_fdim, y_fdim, x_idim, y_idim; + int x_rdim, y_rdim; + int x_start = 1; + int x_step = 1; + int y_start = 1; + int y_step = 1; + int x_stop, y_stop; + mxArray *arg; + double *mxMat; + char edges[15] = "reflect1"; + + if (nrhs<2) mexErrMsgTxt("requres at least 2 args."); + + /* ARG 1: IMAGE */ + arg = prhs[0]; + if notDblMtx(arg) mexErrMsgTxt("IMAGE arg must be a non-sparse double float matrix."); + image = mxGetPr(arg); + x_idim = (int) mxGetM(arg); /* X is inner index! */ + y_idim = (int) mxGetN(arg); + + /* ARG 2: FILTER */ + arg = prhs[1]; + if notDblMtx(arg) mexErrMsgTxt("FILTER arg must be non-sparse double float matrix."); + filt = mxGetPr(arg); + x_fdim = (int) mxGetM(arg); + y_fdim = (int) mxGetN(arg); + + if ((x_fdim > x_idim) || (y_fdim > y_idim)) + { + mexPrintf("Filter: [%d %d], Image: [%d %d]\n",x_fdim,y_fdim,x_idim,y_idim); + mexErrMsgTxt("FILTER dimensions larger than IMAGE dimensions."); + } + + /* ARG 3 (optional): EDGES */ + if (nrhs>2) + { + if (!mxIsChar(prhs[2])) + mexErrMsgTxt("EDGES arg must be a string."); + mxGetString(prhs[2],edges,15); + } + + /* ARG 4 (optional): STEP */ + if (nrhs>3) + { + arg = prhs[3]; + if notDblMtx(arg) mexErrMsgTxt("STEP arg must be a double float matrix."); + if (mxGetM(arg) * mxGetN(arg) != 2) + mexErrMsgTxt("STEP arg must contain two elements."); + mxMat = mxGetPr(arg); + x_step = (int) mxMat[0]; + y_step = (int) mxMat[1]; + if ((x_step<1) || (y_step<1)) + mexErrMsgTxt("STEP values must be greater than zero."); + } + + /* ARG 5 (optional): START */ + if (nrhs>4) + { + arg = prhs[4]; + if notDblMtx(arg) mexErrMsgTxt("START arg must be a double float matrix."); + if (mxGetM(arg) * mxGetN(arg) != 2) + mexErrMsgTxt("START arg must contain two elements."); + mxMat = mxGetPr(arg); + x_start = (int) mxMat[0]; + y_start = (int) mxMat[1]; + if ((x_start<1) || (x_start>x_idim) || + (y_start<1) || (y_start>y_idim)) + mexErrMsgTxt("START values must lie between 1 and the image dimensions."); + } + x_start--; /* convert from Matlab to standard C indexes */ + y_start--; + + /* ARG 6 (optional): STOP */ + if (nrhs>5) + { + if notDblMtx(prhs[5]) mexErrMsgTxt("STOP arg must be double float matrix."); + if (mxGetM(prhs[5]) * mxGetN(prhs[5]) != 2) + mexErrMsgTxt("STOP arg must contain two elements."); + mxMat = mxGetPr(prhs[5]); + x_stop = (int) mxMat[0]; + y_stop = (int) mxMat[1]; + if ((x_stop<x_start) || (x_stop>x_idim) || + (y_stop<y_start) || (y_stop>y_idim)) + mexErrMsgTxt("STOP values must lie between START and the image dimensions."); + } + else + { + x_stop = x_idim; + y_stop = y_idim; + } + + x_rdim = (x_stop-x_start+x_step-1) / x_step; + y_rdim = (y_stop-y_start+y_step-1) / y_step; + + /* mxFreeMatrix(plhs[0]); */ + plhs[0] = (mxArray *) mxCreateDoubleMatrix(x_rdim,y_rdim,mxREAL); + if (plhs[0] == NULL) mexErrMsgTxt("Cannot allocate result matrix"); + result = mxGetPr(plhs[0]); + + temp = mxCalloc(x_fdim*y_fdim, sizeof(double)); + if (temp == NULL) + mexErrMsgTxt("Cannot allocate necessary temporary space"); + + /* + printf("i(%d, %d), f(%d, %d), r(%d, %d), X(%d, %d, %d), Y(%d, %d, %d), %s\n", + x_idim,y_idim,x_fdim,y_fdim,x_rdim,y_rdim, + x_start,x_step,x_stop,y_start,y_step,y_stop,edges); + */ + + if (strcmp(edges,"circular") == 0) + internal_wrap_reduce(image, x_idim, y_idim, filt, x_fdim, y_fdim, + x_start, x_step, x_stop, y_start, y_step, y_stop, + result); + else internal_reduce(image, x_idim, y_idim, filt, temp, x_fdim, y_fdim, + x_start, x_step, x_stop, y_start, y_step, y_stop, + result, edges); + + mxFree((char *) temp); + return; + } + + + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/corrDn.c~ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/corrDn.c~ new file mode 100644 index 0000000..0a1be35 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/corrDn.c~ @@ -0,0 +1,151 @@ +/* +RES = corrDn(IM, FILT, EDGES, STEP, START, STOP); + >>> See corrDn.m for documentation <<< + This is a matlab interface to the internal_reduce function. + EPS, 7/96. +*/ + +/* Matlab V4 types should be changed as follows: + mxArray -> mxArray + REAL -> mxREAL + mxCreateFull -> mxCreateDoubleMatrix + */ + +#define V4_COMPAT +#include <matrix.h> /* Matlab matrices */ +#include <mex.h> + +#include "convolve.h" + +#define notDblMtx(it) (!mxIsNumeric(it) || !mxIsDouble(it) || mxIsSparse(it) || mxIsComplex(it)) + +void mexFunction(int nlhs, /* Num return vals on lhs */ + mxArray *plhs[], /* Matrices on lhs */ + int nrhs, /* Num args on rhs */ + const mxArray *prhs[] /* Matrices on rhs */ + ) + { + double *image,*filt, *temp, *result; + int x_fdim, y_fdim, x_idim, y_idim; + int x_rdim, y_rdim; + int x_start = 1; + int x_step = 1; + int y_start = 1; + int y_step = 1; + int x_stop, y_stop; + mxArray *arg; + double *mxMat; + char edges[15] = "reflect1"; + + if (nrhs<2) mexErrMsgTxt("requres at least 2 args."); + + /* ARG 1: IMAGE */ + arg = prhs[0]; + if notDblMtx(arg) mexErrMsgTxt("IMAGE arg must be a non-sparse double float matrix."); + image = mxGetPr(arg); + x_idim = (int) mxGetM(arg); /* X is inner index! */ + y_idim = (int) mxGetN(arg); + + /* ARG 2: FILTER */ + arg = prhs[1]; + if notDblMtx(arg) mexErrMsgTxt("FILTER arg must be non-sparse double float matrix."); + filt = mxGetPr(arg); + x_fdim = (int) mxGetM(arg); + y_fdim = (int) mxGetN(arg); + + if ((x_fdim > x_idim) || (y_fdim > y_idim)) + { + mexPrintf("Filter: [%d %d], Image: [%d %d]\n",x_fdim,y_fdim,x_idim,y_idim); + mexErrMsgTxt("FILTER dimensions larger than IMAGE dimensions."); + } + + /* ARG 3 (optional): EDGES */ + if (nrhs>2) + { + if (!mxIsChar(prhs[2])) + mexErrMsgTxt("EDGES arg must be a string."); + mxGetString(prhs[2],edges,15); + } + + /* ARG 4 (optional): STEP */ + if (nrhs>3) + { + arg = prhs[3]; + if notDblMtx(arg) mexErrMsgTxt("STEP arg must be a double float matrix."); + if (mxGetM(arg) * mxGetN(arg) != 2) + mexErrMsgTxt("STEP arg must contain two elements."); + mxMat = mxGetPr(arg); + x_step = (int) mxMat[0]; + y_step = (int) mxMat[1]; + if ((x_step<1) || (y_step<1)) + mexErrMsgTxt("STEP values must be greater than zero."); + } + + /* ARG 5 (optional): START */ + if (nrhs>4) + { + arg = prhs[4]; + if notDblMtx(arg) mexErrMsgTxt("START arg must be a double float matrix."); + if (mxGetM(arg) * mxGetN(arg) != 2) + mexErrMsgTxt("START arg must contain two elements."); + mxMat = mxGetPr(arg); + x_start = (int) mxMat[0]; + y_start = (int) mxMat[1]; + if ((x_start<1) || (x_start>x_idim) || + (y_start<1) || (y_start>y_idim)) + mexErrMsgTxt("START values must lie between 1 and the image dimensions."); + } + x_start--; /* convert from Matlab to standard C indexes */ + y_start--; + + /* ARG 6 (optional): STOP */ + if (nrhs>5) + { + if notDblMtx(prhs[5]) mexErrMsgTxt("STOP arg must be double float matrix."); + if (mxGetM(prhs[5]) * mxGetN(prhs[5]) != 2) + mexErrMsgTxt("STOP arg must contain two elements."); + mxMat = mxGetPr(prhs[5]); + x_stop = (int) mxMat[0]; + y_stop = (int) mxMat[1]; + if ((x_stop<x_start) || (x_stop>x_idim) || + (y_stop<y_start) || (y_stop>y_idim)) + mexErrMsgTxt("STOP values must lie between START and the image dimensions."); + } + else + { + x_stop = x_idim; + y_stop = y_idim; + } + + x_rdim = (x_stop-x_start+x_step-1) / x_step; + y_rdim = (y_stop-y_start+y_step-1) / y_step; + + /* mxFreeMatrix(plhs[0]); */ + plhs[0] = (mxArray *) mxCreateDoubleMatrix(x_rdim,y_rdim,mxREAL); + if (plhs[0] == NULL) mexErrMsgTxt("Cannot allocate result matrix"); + result = mxGetPr(plhs[0]); + + temp = mxCalloc(x_fdim*y_fdim, sizeof(double)); + if (temp == NULL) + mexErrMsgTxt("Cannot allocate necessary temporary space"); + + /* + printf("i(%d, %d), f(%d, %d), r(%d, %d), X(%d, %d, %d), Y(%d, %d, %d), %s\n", + x_idim,y_idim,x_fdim,y_fdim,x_rdim,y_rdim, + x_start,x_step,x_stop,y_start,y_step,y_stop,edges); + */ + + if (strcmp(edges,"circular") == 0) + internal_wrap_reduce(image, x_idim, y_idim, filt, x_fdim, y_fdim, + x_start, x_step, x_stop, y_start, y_step, y_stop, + result); + else internal_reduce(image, x_idim, y_idim, filt, temp, x_fdim, y_fdim, + x_start, x_step, x_stop, y_start, y_step, y_stop, + result, edges); + + mxFree((char *) temp); + return; + } + + + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/corrDn.dll b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/corrDn.dll new file mode 100644 index 0000000000000000000000000000000000000000..1f314f27c55a4187780e62d1cd33338b6d55c43a GIT binary patch literal 49664 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zQ24V2uj|j}v9K+E@oQe!^Vy^LY$sl~Y*&B3<2OSteUP8M=B@s-GgtcS-cim!TML?_ i#q0LN2<(3s+$D1F<@_vuhx;g4JPH5OXT1LXBL5GKJaTvd literal 0 HcmV?d00001 diff --git "a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/corrDn.\302\265.exp" "b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/corrDn.\302\265.exp" new file mode 100644 index 0000000..b95a258 --- /dev/null +++ "b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/corrDn.\302\265.exp" @@ -0,0 +1 @@ +mexFunction \ No newline at end of file diff --git "a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/corrDn.\302\265.rsrc" "b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/corrDn.\302\265.rsrc" new file mode 100644 index 0000000..e69de29 diff --git "a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/corrDn.\317\200.4" "b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/corrDn.\317\200.4" new file mode 100644 index 0000000..e69de29 diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/edges-orig.c b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/edges-orig.c new file mode 100644 index 0000000..1f6a98b --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/edges-orig.c @@ -0,0 +1,494 @@ +/* +;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;;; File: edges.c +;;; Author: Eero Simoncelli +;;; Description: Boundary handling routines for use with convolve.c +;;; Creation Date: Spring 1987. +;;; MODIFIED, 6/96, to operate on double float arrays. +;;; MODIFIED by dgp, 4/1/97, to support THINK C. +;;; ---------------------------------------------------------------- +;;; Object-Based Vision and Image Understanding System (OBVIUS), +;;; Copyright 1988, Vision Science Group, Media Laboratory, +;;; Massachusetts Institute of Technology. +;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +*/ + +/* +This file contains functions which determine how edges are to be +handled when performing convolutions of images with linear filters. +Any edge handling function which is local and linear may be defined, +except (unfortunately) constants cannot be added. So to treat the +edges as if the image is surrounded by a gray field, you must paste it +into a gray image, convolve, and crop it out... +The main convolution function is called internal_filter and is defined +in the file convolve.c. The idea is that the convolution function +calls the edge handling function which computes a new filter based on +the old filter and the distance to the edge of the image. For +example, reflection is done by reflecting the filter through the +appropriate axis and summing. Currently defined functions are listed +below. +*/ + +/* +#define DEBUG +*/ + +#include <stdio.h> +#include <math.h> +#include <string.h> +#include "convolve.h" + +#define sgn(a) ( ((a)>0)?1:(((a)<0)?-1:0) ) +#define clip(a,mn,mx) ( ((a)<(mn))?(mn):(((a)>=(mx))?(mx-1):(a)) ) + +int reflect1(), reflect2(), repeat(), zero(), Extend(), nocompute(); +int ereflect(), predict(); + +/* Lookup table matching a descriptive string to the edge-handling function */ +#if !THINK_C + static EDGE_HANDLER edge_foos[] = + { + { "dont-compute", nocompute }, /* zero output for filter touching edge */ + { "zero", zero }, /* zero outside of image */ + { "repeat", repeat }, /* repeat edge pixel */ + { "reflect1", reflect1 }, /* reflect about edge pixels */ + { "reflect2", reflect2 }, /* reflect image, including edge pixels */ + { "extend", Extend }, /* extend (reflect & invert) */ + { "predict", predict }, /* predict based on portion covered by filt */ + { "ereflect", ereflect }, /* orthogonal QMF reflection */ + }; +#else + /* + This is really stupid, but THINK C won't allow initialization of static variables in + a code resource with string addresses. So we do it this way. + The 68K code for a MATLAB 4 MEX file can only be created by THINK C. + However, for MATLAB 5, we'll be able to use Metrowerks CodeWarrior for both 68K and PPC, so this + cludge can be dropped when we drop support for MATLAB 4. + Denis Pelli, 4/1/97. + */ + static EDGE_HANDLER edge_foos[8]; + + void InitializeTable(EDGE_HANDLER edge_foos[]) + { + static int i=0; + + if(i>0) return; + edge_foos[i].name="dont-compute"; + edge_foos[i++].func=nocompute; + edge_foos[i].name="zero"; + edge_foos[i++].func=zero; + edge_foos[i].name="repeat"; + edge_foos[i++].func=repeat; + edge_foos[i].name="reflect1"; + edge_foos[i++].func=reflect1; + edge_foos[i].name="reflect2"; + edge_foos[i++].func=reflect2; + edge_foos[i].name="extend"; + edge_foos[i++].func=Extend; + edge_foos[i].name="predict"; + edge_foos[i++].func=predict; + edge_foos[i].name="ereflect"; + edge_foos[i++].func=ereflect; + } +#endif + +/* +Function looks up an edge handler id string in the structure above, and +returns the associated function +*/ +fptr edge_function(char *edges) + { + int i; + +#if THINK_C + InitializeTable(edge_foos); +#endif + for (i = 0; i<sizeof(edge_foos)/sizeof(EDGE_HANDLER); i++) + if (strcmp(edges,edge_foos[i].name) == 0) + return(edge_foos[i].func); + printf("Error: '%s' is not the name of a valid edge-handler!\n",edges); + for (i=0; i<sizeof(edge_foos)/sizeof(EDGE_HANDLER); i++) + { + if (i==0) printf(" Options are: "); + else printf(", "); + printf("%s",edge_foos[i].name); + } + printf("\n"); + return(0); + } + +/* +---------------- EDGE HANDLER ARGUMENTS ------------------------ +filt - array of filter taps. +x_dim, y_dim - x and y dimensions of filt. +x_pos - position of filter relative to the horizontal image edges. Negative + values indicate left edge, positive indicate right edge. Zero + indicates that the filter is not touching either edge. An absolute + value of 1 indicates that the edge tap of the filter is over the + edge pixel of the image. +y_pos - analogous to x_pos. +result - array where the resulting filter will go. The edge + of this filter will be aligned with the image for application... +f_or_e - equal to one of the two constants EXPAND or FILTER. +-------------------------------------------------------------------- +*/ + + +/* -------------------------------------------------------------------- +nocompute() - Return zero for values where filter hangs over the edge. +*/ + +int nocompute(filt,x_dim,y_dim,x_pos,y_pos,result,f_or_e) + register double *filt, *result; + register int x_dim; + int y_dim, x_pos, y_pos, f_or_e; + { + register int i; + register int size = x_dim*y_dim; + + if ( (x_pos>1) OR (x_pos<-1) OR (y_pos>1) OR (y_pos<-1) ) + for (i=0; i<size; i++) result[i] = 0.0; + else + for (i=0; i<size; i++) result[i] = filt[i]; + return(0); + } + +/* -------------------------------------------------------------------- +zero() - Zero outside of image. Discontinuous, but adds zero energy. */ + +int zero(filt,x_dim,y_dim,x_pos,y_pos,result,f_or_e) + register double *filt, *result; + register int x_dim; + int y_dim, x_pos, y_pos, f_or_e; + { + register int y_filt,x_filt, y_res,x_res; + int filt_sz = x_dim*y_dim; + int x_start = ((x_pos>0)?(x_pos-1):((x_pos<0)?(x_pos+1):0)); + int y_start = x_dim * ((y_pos>0)?(y_pos-1):((y_pos<0)?(y_pos+1):0)); + int i; + + for (i=0; i<filt_sz; i++) result[i] = 0.0; + + for (y_filt=0, y_res=y_start; + y_filt<filt_sz; + y_filt+=x_dim, y_res+=x_dim) + if ((y_res >= 0) AND (y_res < filt_sz)) + for (x_filt=y_filt, x_res=x_start; + x_filt<y_filt+x_dim; + x_filt++, x_res++) + if ((x_res >= 0) AND (x_res < x_dim)) + result[y_res+x_res] = filt[x_filt]; + return(0); + } + +/* -------------------------------------------------------------------- +repeat() - repeat edge pixel. Continuous, but content is usually +different from image. +*/ + +int repeat(filt,x_dim,y_dim,x_pos,y_pos,result,f_or_e) + register double *filt, *result; + register int x_dim; + int y_dim, x_pos, y_pos, f_or_e; + { + register int y_filt,x_filt, y_res,x_res; + int filt_sz = x_dim*y_dim; + int x_start = ((x_pos>0)?(x_pos-1):((x_pos<0)?(x_pos+1):0)); + int y_start = x_dim * ((y_pos>0)?(y_pos-1):((y_pos<0)?(y_pos+1):0)); + int i; + + for (i=0; i<filt_sz; i++) result[i] = 0.0; + + for (y_filt=0, y_res=y_start; + y_filt<filt_sz; + y_filt+=x_dim, y_res+=x_dim) + for (x_filt=y_filt, x_res=x_start; + x_filt<y_filt+x_dim; + x_filt++, x_res++) + result[((y_res>=0)?((y_res<filt_sz)?y_res:(filt_sz-x_dim)):0) + + ((x_res>=0)?((x_res<x_dim)?x_res:(x_dim-1)):0)] + += filt[x_filt]; + return(0); + } + +/* -------------------------------------------------------------------- +reflect2() - "Normal" image reflection. The edge pixel is repeated, +then the next pixel, etc. Continuous, attempting to maintain +"similar" content, but discontinuous first derivative. +*/ + +int reflect2(filt,x_dim,y_dim,x_pos,y_pos,result,f_or_e) + register double *filt, *result; + register int x_dim; + int y_dim, x_pos, y_pos, f_or_e; + { + register int y_filt,x_filt, y_edge,x_edge; + register int x_base = (x_pos>0)?(x_dim-1):0; + register int y_base = (y_pos>0)?(x_dim*(y_dim-1)):0; + int filt_sz = x_dim*y_dim; + int x_edge_dist = (x_pos>0)?(x_pos-x_dim-1):(x_pos+1); + int y_edge_dist = x_dim * ((y_pos>0)?(y_pos-y_dim-1):(y_pos+1)); + int i; + + #ifdef DEBUG + printf("(%d,%d) ",y_pos,x_pos); + if (x_pos==0) printf("\n"); + #endif + + for (i=0; i<filt_sz; i++) result[i] = 0.0; + + for (y_filt=0, y_edge=y_edge_dist; + y_filt<filt_sz; + y_filt+=x_dim, y_edge+=x_dim) + { + if (y_edge IS 0) y_edge+=x_dim; + for (x_filt=y_filt, x_edge=x_edge_dist; + x_filt<y_filt+x_dim; + x_filt++, x_edge++) + { + if (x_edge IS 0) x_edge++; + result[ABS(y_base-ABS(y_edge)+x_dim) + ABS(x_base-ABS(x_edge)+1)] + += filt[x_filt]; + } + } + return(0); + } + +/* -------------------------------------------------------------------- +reflect1() - Reflection through the edge pixels. This is the right thing +to do if you are subsampling by 2, since it maintains parity (even +pixels positions remain even, odd ones remain odd). (note: procedure differs +depending on f_or_e parameter). */ + +int reflect1(filt,x_dim,y_dim,x_pos,y_pos,result,f_or_e) + register double *filt, *result; + register int x_dim; + int y_dim, x_pos, y_pos, f_or_e; + { + int filt_sz = x_dim*y_dim; + register int x_start = 0, y_start = 0, x_stop = x_dim, y_stop = filt_sz; + register int y_filt,x_filt, y_edge,x_edge; + register int x_base = (x_pos>0)?(x_dim-1):0; + register int y_base = (y_pos>0)?(x_dim*(y_dim-1)):0; + int x_edge_dist = (x_pos>0)?(x_pos-x_dim):((x_pos<0)?(x_pos+1):0); + int y_edge_dist = x_dim * ((y_pos>0)?(y_pos-y_dim):((y_pos<0)?(y_pos+1):0)); + int i; + int mx_pos = (x_dim/2)+1; + int my_pos = (y_dim/2)+1; + + #ifdef DEBUG + printf("(%d,%d) ",y_pos,x_pos); + if (x_pos==0) printf("\n"); + #endif + + for (i=0; i<filt_sz; i++) result[i] = 0.0; + + /* if EXPAND and filter is centered on image edge, do not reflect */ + if (f_or_e IS EXPAND) + { + if (x_pos IS mx_pos) x_stop = (x_dim+1)/2; + else if (x_pos IS -mx_pos) { x_start = x_dim/2; x_edge_dist = 0; } + + if (y_pos IS my_pos) y_stop = x_dim*((y_dim+1)/2); + else if (y_pos IS -my_pos) { y_start = x_dim*(y_dim/2); y_edge_dist = 0;} + } + + /* reflect at boundary of image */ + for (y_filt=y_start, y_edge=y_edge_dist; + y_filt<y_stop; + y_filt+=x_dim, y_edge+=x_dim) + for (x_filt=y_filt+x_start, x_edge=x_edge_dist; + x_filt<y_filt+x_stop; + x_filt++, x_edge++) + result[ABS(y_base-ABS(y_edge)) + ABS(x_base-ABS(x_edge))] + += filt[x_filt]; + + /* if EXPAND and filter is not centered on image edge, mult edge by 2 */ + if (f_or_e IS EXPAND) + { + if ( (ABS(x_pos) ISNT mx_pos) AND (x_pos ISNT 0) ) + for (y_filt=x_base; y_filt<filt_sz; y_filt+=x_dim) + result[y_filt] += result[y_filt]; + if ( (ABS(y_pos) ISNT my_pos) AND (y_pos ISNT 0) ) + for (x_filt=y_base; x_filt<y_base+x_dim; x_filt++) + result[x_filt] += result[x_filt]; + } + return(0); + } + +/* -------------------------------------------------------------------- +Extend() - Extend image by reflecting and inverting about edge pixel +value. Maintains continuity in intensity AND first derivative (but +not higher derivs). +*/ + +int Extend(filt,x_dim,y_dim,x_pos,y_pos,result,f_or_e) + register double *filt, *result; + register int x_dim; + int y_dim, x_pos, y_pos, f_or_e; + { + int filt_sz = x_dim*y_dim; + register int x_start = 0, y_start = 0, x_stop = x_dim, y_stop = filt_sz; + register int y_filt,x_filt, y_edge,x_edge; + register int x_base = (x_pos>0)?(x_dim-1):0; + register int y_base = (y_pos>0)?(x_dim*(y_dim-1)):0; + int x_edge_dist = (x_pos>0)?(x_pos-x_dim):((x_pos<-1)?(x_pos+1):0); + int y_edge_dist = x_dim * ((y_pos>0)?(y_pos-y_dim):((y_pos<-1)?(y_pos+1):0)); + int i; + int mx_pos = (x_dim/2)+1; + int my_pos = (y_dim/2)+1; + + for (i=0; i<filt_sz; i++) result[i] = 0.0; + + /* if EXPAND and filter is centered on image edge, do not reflect */ + if (f_or_e IS EXPAND) + { + if (x_pos IS mx_pos) x_stop = (x_dim+1)/2; + else if (x_pos IS -mx_pos) { x_start = x_dim/2; x_edge_dist = 0; } + + if (y_pos IS my_pos) y_stop = x_dim*((y_dim+1)/2); + else if (y_pos IS -my_pos) { y_start = x_dim*(y_dim/2); y_edge_dist = 0;} + } + + /* reflect at boundary of image */ + for (y_filt=y_start, y_edge=y_edge_dist; + y_filt<y_stop; + y_filt+=x_dim, y_edge+=x_dim) + for (x_filt=y_filt+x_start, x_edge=x_edge_dist; + x_filt<y_filt+x_stop; + x_filt++, x_edge++) + if (((!y_base AND (sgn(y_edge) IS -1)) /* y overhanging */ + OR + (y_base AND (sgn(y_edge) IS 1))) + ISNT /* XOR */ + ((!x_base AND (sgn(x_edge) IS -1)) /* x overhanging */ + OR + (x_base AND (sgn(x_edge) IS 1)))) + { + result[ABS(y_base-ABS(y_edge)) + ABS(x_base-ABS(x_edge))] + -= filt[x_filt]; + result[clip(y_base+y_edge,0,y_dim) + clip(x_base+x_edge,0,x_dim)] + += filt[x_filt] + filt[x_filt]; + } + else result[ABS(y_base-ABS(y_edge)) + ABS(x_base-ABS(x_edge))] + += filt[x_filt]; + return(0); + } + +/* -------------------------------------------------------------------- +predict() - Simple prediction. Like zero, but multiplies the result +by the reciprocal of the percentage of filter being used. (i.e. if +50% of the filter is hanging over the edge of the image, multiply the +taps being used by 2). */ + +int predict(filt,x_dim,y_dim,x_pos,y_pos,result,f_or_e) + register double *filt, *result; + register int x_dim; + int y_dim, x_pos, y_pos, f_or_e; + { + register int y_filt,x_filt, y_res,x_res; + register double taps_used = 0.0; /* int *** */ + register double fraction = 0.0; + int filt_sz = x_dim*y_dim; + int x_start = ((x_pos>0)?(x_pos-1):((x_pos<0)?(x_pos+1):0)); + int y_start = x_dim * ((y_pos>0)?(y_pos-1):((y_pos<0)?(y_pos+1):0)); + int i; + + for (i=0; i<filt_sz; i++) result[i] = 0.0; + + for (y_filt=0, y_res=y_start; + y_filt<filt_sz; + y_filt+=x_dim, y_res+=x_dim) + if ((y_res >= 0) AND (y_res < filt_sz)) + for (x_filt=y_filt, x_res=x_start; + x_filt<y_filt+x_dim; + x_filt++, x_res++) + if ((x_res >= 0) AND (x_res < x_dim)) + { + result[y_res+x_res] = filt[x_filt]; + taps_used += ABS(filt[x_filt]); + } + printf("TU: %f\n",taps_used); + if (f_or_e IS FILTER) + { + /* fraction = ( (double) filt_sz ) / ( (double) taps_used ); */ + for (i=0; i<filt_sz; i++) fraction += ABS(filt[i]); + fraction = ( fraction / taps_used ); + for (i=0; i<filt_sz; i++) result[i] *= fraction; + } + return(0); + } + + +/* -------------------------------------------------------------------- +Reflect, multiplying tap of filter which is at the edge of the image +by root 2. This maintains orthogonality of odd-length linear-phase +QMF filters, but it is not useful for most applications, since it +alters the DC level. */ + +int ereflect(filt,x_dim,y_dim,x_pos,y_pos,result,f_or_e) + register double *filt, *result; + register int x_dim; + int y_dim, x_pos, y_pos, f_or_e; + { + register int y_filt,x_filt, y_edge,x_edge; + register int x_base = (x_pos>0)?(x_dim-1):0; + register int y_base = x_dim * ( (y_pos>0)?(y_dim-1):0 ); + int filt_sz = x_dim*y_dim; + int x_edge_dist = (x_pos>1)?(x_pos-x_dim):((x_pos<-1)?(x_pos+1):0); + int y_edge_dist = x_dim * ( (y_pos>1)?(y_pos-y_dim):((y_pos<-1)?(y_pos+1):0) ); + int i; + double norm,onorm; + + for (i=0; i<filt_sz; i++) result[i] = 0.0; + + /* reflect at boundary */ + for (y_filt=0, y_edge=y_edge_dist; + y_filt<filt_sz; + y_filt+=x_dim, y_edge+=x_dim) + for (x_filt=y_filt, x_edge=x_edge_dist; + x_filt<y_filt+x_dim; + x_filt++, x_edge++) + result[ABS(y_base-ABS(y_edge)) + ABS(x_base-ABS(x_edge))] + += filt[x_filt]; + + /* now multiply edge by root 2 */ + if (x_pos ISNT 0) + for (y_filt=x_base; y_filt<filt_sz; y_filt+=x_dim) + result[y_filt] *= ROOT2; + if (y_pos ISNT 0) + for (x_filt=y_base; x_filt<y_base+x_dim; x_filt++) + result[x_filt] *= ROOT2; + + /* now normalize to norm of original filter */ + for (norm=0.0,i=0; i<filt_sz; i++) + norm += (result[i]*result[i]); + norm=sqrt(norm); + + for (onorm=0.0,i=0; i<filt_sz; i++) + onorm += (filt[i]*filt[i]); + onorm = sqrt(onorm); + + norm = norm/onorm; + for (i=0; i<filt_sz; i++) + result[i] /= norm; + return(0); + } + + +/* ------- printout stuff for testing ------------------------------ + printf("Xpos: %d, Ypos: %d", x_pos, y_pos); + for (y_filt=0; y_filt<y_dim; y_filt++) + { + printf("\n"); + for (x_filt=0; x_filt<x_dim; x_filt++) + printf("%6.1f", result[y_filt*x_dim+x_filt]); + } + printf("\n"); +*/ + + + +/* Local Variables: */ +/* buffer-read-only: t */ +/* End: */ diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/edges.c b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/edges.c new file mode 100644 index 0000000..98b377d --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/edges.c @@ -0,0 +1,647 @@ +/* +;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;;; File: edges.c +;;; Author: Eero Simoncelli +;;; Description: Boundary handling routines for use with convolve.c +;;; Creation Date: Spring 1987. +;;; MODIFIED, 6/96, to operate on double float arrays. +;;; MODIFIED by dgp, 4/1/97, to support THINK C. +;;; MODIFIED, 8/97: reflect1, reflect2, repeat, extend upgraded to +;;; work properly for non-symmetric filters. Added qreflect2 to handle +;;; even-length QMF's which broke under the reflect2 modification. +;;; ---------------------------------------------------------------- +;;; Object-Based Vision and Image Understanding System (OBVIUS), +;;; Copyright 1988, Vision Science Group, Media Laboratory, +;;; Massachusetts Institute of Technology. +;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +*/ + +/* This file contains functions which determine how edges are to be +handled when performing convolutions of images with linear filters. +Any edge handling function which is local and linear may be defined, +except (unfortunately) constants cannot be added. So to treat the +edges as if the image is surrounded by a gray field, you must paste it +into a gray image, convolve, and crop it out... The main convolution +functions are called internal_reduce and internal_expand and are +defined in the file convolve.c. The idea is that the convolution +function calls the edge handling function which computes a new filter +based on the old filter and the distance to the edge of the image. +For example, reflection is done by reflecting the filter through the +appropriate axis and summing. Currently defined functions are listed +below. +*/ + + +#include <stdio.h> +#include <math.h> +#include <string.h> +#include "convolve.h" + +#define sgn(a) ( ((a)>0)?1:(((a)<0)?-1:0) ) +#define clip(a,mn,mx) ( ((a)<(mn))?(mn):(((a)>=(mx))?(mx-1):(a)) ) + +int reflect1(), reflect2(), qreflect2(), repeat(), zero(), Extend(), nocompute(); +int ereflect(), predict(); + +/* Lookup table matching a descriptive string to the edge-handling function */ +#if !THINK_C + static EDGE_HANDLER edge_foos[] = + { + { "dont-compute", nocompute }, /* zero output for filter touching edge */ + { "zero", zero }, /* zero outside of image */ + { "repeat", repeat }, /* repeat edge pixel */ + { "reflect1", reflect1 }, /* reflect about edge pixels */ + { "reflect2", reflect2 }, /* reflect image, including edge pixels */ + { "qreflect2", qreflect2 }, /* reflect image, including edge pixels + for even-length QMF decompositions */ + { "extend", Extend }, /* extend (reflect & invert) */ + { "ereflect", ereflect }, /* orthogonal QMF reflection */ + }; +#else + /* + This is really stupid, but THINK C won't allow initialization of static variables in + a code resource with string addresses. So we do it this way. + The 68K code for a MATLAB 4 MEX file can only be created by THINK C. + However, for MATLAB 5, we'll be able to use Metrowerks CodeWarrior for both 68K and PPC, so this + cludge can be dropped when we drop support for MATLAB 4. + Denis Pelli, 4/1/97. + */ + static EDGE_HANDLER edge_foos[8]; + + void InitializeTable(EDGE_HANDLER edge_foos[]) + { + static int i=0; + + if(i>0) return; + edge_foos[i].name="dont-compute"; + edge_foos[i++].func=nocompute; + edge_foos[i].name="zero"; + edge_foos[i++].func=zero; + edge_foos[i].name="repeat"; + edge_foos[i++].func=repeat; + edge_foos[i].name="reflect1"; + edge_foos[i++].func=reflect1; + edge_foos[i].name="reflect2"; + edge_foos[i++].func=reflect2; + edge_foos[i].name="qreflect2"; + edge_foos[i++].func=qreflect2; + edge_foos[i].name="extend"; + edge_foos[i++].func=Extend; + edge_foos[i].name="ereflect"; + edge_foos[i++].func=ereflect; + } +#endif + +/* +Function looks up an edge handler id string in the structure above, and +returns the associated function +*/ +fptr edge_function(char *edges) + { + int i; + +#if THINK_C + InitializeTable(edge_foos); +#endif + for (i = 0; i<sizeof(edge_foos)/sizeof(EDGE_HANDLER); i++) + if (strcmp(edges,edge_foos[i].name) IS 0) + return(edge_foos[i].func); + printf("Error: '%s' is not the name of a valid edge-handler!\n",edges); + for (i=0; i<sizeof(edge_foos)/sizeof(EDGE_HANDLER); i++) + { + if (i IS 0) printf(" Options are: "); + else printf(", "); + printf("%s",edge_foos[i].name); + } + printf("\n"); + return(0); + } + +/* +---------------- EDGE HANDLER ARGUMENTS ------------------------ +filt - array of filter taps. +x_dim, y_dim - x and y dimensions of filt. +x_pos - position of filter relative to the horizontal image edges. Negative + values indicate left edge, positive indicate right edge. Zero + indicates that the filter is not touching either edge. An absolute + value of 1 indicates that the edge tap of the filter is over the + edge pixel of the image. +y_pos - analogous to x_pos. +result - array where the resulting filter will go. The edge + of this filter will be aligned with the image for application... +r_or_e - equal to one of the two constants EXPAND or REDUCE. +-------------------------------------------------------------------- +*/ + + +/* -------------------------------------------------------------------- +nocompute() - Return zero for values where filter hangs over the edge. +*/ + +int nocompute(filt,x_dim,y_dim,x_pos,y_pos,result,r_or_e) + register double *filt, *result; + register int x_dim; + int y_dim, x_pos, y_pos, r_or_e; + { + register int i; + register int size = x_dim*y_dim; + + if ( (x_pos>1) OR (x_pos<-1) OR (y_pos>1) OR (y_pos<-1) ) + for (i=0; i<size; i++) result[i] = 0.0; + else + for (i=0; i<size; i++) result[i] = filt[i]; + + return(0); + } + +/* -------------------------------------------------------------------- +zero() - Zero outside of image. Discontinuous, but adds zero energy. */ + +int zero(filt,x_dim,y_dim,x_pos,y_pos,result,r_or_e) + register double *filt, *result; + register int x_dim; + int y_dim, x_pos, y_pos, r_or_e; + { + register int y_filt,x_filt, y_res,x_res; + int filt_sz = x_dim*y_dim; + int x_start = ((x_pos>0)?(x_pos-1):((x_pos<0)?(x_pos+1):0)); + int y_start = x_dim * ((y_pos>0)?(y_pos-1):((y_pos<0)?(y_pos+1):0)); + int i; + + for (i=0; i<filt_sz; i++) result[i] = 0.0; + + for (y_filt=0, y_res=y_start; + y_filt<filt_sz; + y_filt+=x_dim, y_res+=x_dim) + if ((y_res >= 0) AND (y_res < filt_sz)) + for (x_filt=y_filt, x_res=x_start; + x_filt<y_filt+x_dim; + x_filt++, x_res++) + if ((x_res >= 0) AND (x_res < x_dim)) + result[y_res+x_res] = filt[x_filt]; + return(0); + } + + +/* -------------------------------------------------------------------- +reflect1() - Reflection through the edge pixels. Continuous, but +discontinuous first derivative. This is the right thing to do if you +are subsampling by 2, since it maintains parity (even pixels positions +remain even, odd ones remain odd). +*/ + +int reflect1(filt,x_dim,y_dim,x_pos,y_pos,result,r_or_e) + register double *filt, *result; + register int x_dim; + int y_dim, x_pos, y_pos, r_or_e; + { + int filt_sz = x_dim*y_dim; + register int y_filt,x_filt, y_res, x_res; + register int x_base = (x_pos>0)?(x_dim-1):0; + register int y_base = x_dim * ((y_pos>0)?(y_dim-1):0); + int x_overhang = (x_pos>0)?(x_pos-1):((x_pos<0)?(x_pos+1):0); + int y_overhang = x_dim * ((y_pos>0)?(y_pos-1):((y_pos<0)?(y_pos+1):0)); + int i; + int mx_pos = (x_pos<0)?(x_dim/2):((x_dim-1)/2); + int my_pos = x_dim * ((y_pos<0)?(y_dim/2):((y_dim-1)/2)); + + for (i=0; i<filt_sz; i++) result[i] = 0.0; + + if (r_or_e IS REDUCE) + for (y_filt=0, y_res=y_overhang-y_base; + y_filt<filt_sz; + y_filt+=x_dim, y_res+=x_dim) + for (x_filt=y_filt, x_res=x_overhang-x_base; + x_filt<y_filt+x_dim; + x_filt++, x_res++) + result[ABS(y_base-ABS(y_res)) + ABS(x_base-ABS(x_res))] + += filt[x_filt]; + else { + y_overhang = ABS(y_overhang); + x_overhang = ABS(x_overhang); + for (y_res=y_base, y_filt = y_base-y_overhang; + y_filt > y_base-filt_sz; + y_filt-=x_dim, y_res-=x_dim) + { + for (x_res=x_base, x_filt=x_base-x_overhang; + x_filt > x_base-x_dim; + x_res--, x_filt--) + result[ABS(y_res)+ABS(x_res)] += filt[ABS(y_filt)+ABS(x_filt)]; + if ((x_overhang ISNT mx_pos) AND (x_pos ISNT 0)) + for (x_res=x_base, x_filt=x_base-2*mx_pos+x_overhang; + x_filt > x_base-x_dim; + x_res--, x_filt--) + result[ABS(y_res)+ABS(x_res)] += filt[ABS(y_filt)+ABS(x_filt)]; + } + if ((y_overhang ISNT my_pos) AND (y_pos ISNT 0)) + for (y_res=y_base, y_filt = y_base-2*my_pos+y_overhang; + y_filt > y_base-filt_sz; + y_filt-=x_dim, y_res-=x_dim) + { + for (x_res=x_base, x_filt=x_base-x_overhang; + x_filt > x_base-x_dim; + x_res--, x_filt--) + result[ABS(y_res)+ABS(x_res)] += filt[ABS(y_filt)+ABS(x_filt)]; + if ((x_overhang ISNT mx_pos) AND (x_pos ISNT 0)) + for (x_res=x_base, x_filt=x_base-2*mx_pos+x_overhang; + x_filt > x_base-x_dim; + x_res--, x_filt--) + result[ABS(y_res)+ABS(x_res)] += filt[ABS(y_filt)+ABS(x_filt)]; + } + } + + return(0); + } + +/* -------------------------------------------------------------------- +reflect2() - Reflect image at boundary. The edge pixel is repeated, +then the next pixel, etc. Continuous, but discontinuous first +derivative. +*/ + +int reflect2(filt,x_dim,y_dim,x_pos,y_pos,result,r_or_e) + register double *filt, *result; + register int x_dim; + int y_dim, x_pos, y_pos, r_or_e; + { + int filt_sz = x_dim*y_dim; + register int y_filt,x_filt, y_res, x_res; + register int x_base = (x_pos>0)?(x_dim-1):0; + register int y_base = x_dim * ((y_pos>0)?(y_dim-1):0); + int x_overhang = (x_pos>0)?(x_pos-1):((x_pos<0)?(x_pos+1):0); + int y_overhang = x_dim * ((y_pos>0)?(y_pos-1):((y_pos<0)?(y_pos+1):0)); + int i; + int mx_pos = (x_pos<0)?(x_dim/2):((x_dim-1)/2); + int my_pos = x_dim * ((y_pos<0)?(y_dim/2):((y_dim-1)/2)); + + for (i=0; i<filt_sz; i++) result[i] = 0.0; + + if (r_or_e IS REDUCE) + for (y_filt=0, y_res = (y_overhang-y_base) - ((y_pos>0)?x_dim:0); + y_filt<filt_sz; + y_filt+=x_dim, y_res+=x_dim) + { + if (y_res IS 0) y_res+=x_dim; + for (x_filt=y_filt, x_res = (x_overhang-x_base) - ((x_pos>0)?1:0); + x_filt<y_filt+x_dim; + x_filt++, x_res++) + { + if (x_res IS 0) x_res++; + result[ABS(y_base-ABS(y_res)+x_dim) + ABS(x_base-ABS(x_res)+1)] + += filt[x_filt]; + } + } + else { + y_overhang = ABS(y_overhang); + x_overhang = ABS(x_overhang); + for (y_res=y_base, y_filt = y_base-y_overhang; + y_filt > y_base-filt_sz; + y_filt-=x_dim, y_res-=x_dim) + { + for (x_res=x_base, x_filt=x_base-x_overhang; + x_filt > x_base-x_dim; + x_res--, x_filt--) + result[ABS(y_res)+ABS(x_res)] += filt[ABS(y_filt)+ABS(x_filt)]; + if (x_pos ISNT 0) + for (x_res=x_base, x_filt=x_base-2*mx_pos+x_overhang-1; + x_filt > x_base-x_dim; + x_res--, x_filt--) + result[ABS(y_res)+ABS(x_res)] += filt[ABS(y_filt)+ABS(x_filt)]; + } + if (y_pos ISNT 0) + for (y_res=y_base, y_filt = y_base-2*my_pos+y_overhang-x_dim; + y_filt > y_base-filt_sz; + y_filt-=x_dim, y_res-=x_dim) + { + for (x_res=x_base, x_filt=x_base-x_overhang; + x_filt > x_base-x_dim; + x_res--, x_filt--) + result[ABS(y_res)+ABS(x_res)] += filt[ABS(y_filt)+ABS(x_filt)]; + if (x_pos ISNT 0) + for (x_res=x_base, x_filt=x_base-2*mx_pos+x_overhang-1; + x_filt > x_base-x_dim; + x_res--, x_filt--) + result[ABS(y_res)+ABS(x_res)] += filt[ABS(y_filt)+ABS(x_filt)]; + } + } + + return(0); + } + + +/* -------------------------------------------------------------------- +qreflect2() - Modified version of reflect2 that works properly for +even-length QMF filters. +*/ + +int qreflect2(filt,x_dim,y_dim,x_pos,y_pos,result,r_or_e) + double *filt, *result; + int x_dim, y_dim, x_pos, y_pos, r_or_e; + { + reflect2(filt,x_dim,y_dim,x_pos,y_pos,result,0); + return(0); + } + +/* -------------------------------------------------------------------- +repeat() - repeat edge pixel. Continuous, with discontinuous first +derivative. +*/ + +int repeat(filt,x_dim,y_dim,x_pos,y_pos,result,r_or_e) + register double *filt, *result; + register int x_dim; + int y_dim, x_pos, y_pos, r_or_e; + { + register int y_filt,x_filt, y_res,x_res, y_tmp, x_tmp; + register int x_base = (x_pos>0)?(x_dim-1):0; + register int y_base = x_dim * ((y_pos>0)?(y_dim-1):0); + int x_overhang = ((x_pos>0)?(x_pos-1):((x_pos<0)?(x_pos+1):0)); + int y_overhang = x_dim * ((y_pos>0)?(y_pos-1):((y_pos<0)?(y_pos+1):0)); + int filt_sz = x_dim*y_dim; + int mx_pos = (x_dim/2); + int my_pos = x_dim * (y_dim/2); + int i; + + for (i=0; i<filt_sz; i++) result[i] = 0.0; + + if (r_or_e IS REDUCE) + for (y_filt=0, y_res=y_overhang; + y_filt<filt_sz; + y_filt+=x_dim, y_res+=x_dim) + for (x_filt=y_filt, x_res=x_overhang; + x_filt<y_filt+x_dim; + x_filt++, x_res++) + /* Clip the index: */ + result[((y_res>=0)?((y_res<filt_sz)?y_res:(filt_sz-x_dim)):0) + + ((x_res>=0)?((x_res<x_dim)?x_res:(x_dim-1)):0)] + += filt[x_filt]; + else { + if ((y_base-y_overhang) ISNT my_pos) + for (y_res=y_base, y_filt=y_base-ABS(y_overhang); + y_filt > y_base-filt_sz; + y_filt-=x_dim, y_res-=x_dim) + if ((x_base-x_overhang) ISNT mx_pos) + for (x_res=x_base, x_filt=x_base-ABS(x_overhang); + x_filt > x_base-x_dim; + x_res--, x_filt--) + result[ABS(y_res)+ABS(x_res)] += filt[ABS(y_filt)+ABS(x_filt)]; + else /* ((x_base-x_overhang) IS mx_pos) */ + for (x_res=x_base, x_filt=x_base-ABS(x_overhang); + x_filt > x_base-x_dim; + x_filt--, x_res--) + for(x_tmp=x_filt; x_tmp > x_base-x_dim; x_tmp--) + result[ABS(y_res)+ABS(x_res)] += filt[ABS(y_filt)+ABS(x_tmp)]; + else /* ((y_base-y_overhang) IS my_pos) */ + for (y_res=y_base, y_filt=y_base-ABS(y_overhang); + y_filt > y_base-filt_sz; + y_filt-=x_dim, y_res-=x_dim) + for (y_tmp=y_filt; y_tmp > y_base-filt_sz; y_tmp-=x_dim) + if ((x_base-x_overhang) ISNT mx_pos) + for (x_res=x_base, x_filt=x_base-ABS(x_overhang); + x_filt > x_base-x_dim; + x_filt--, x_res--) + result[ABS(y_res)+ABS(x_res)] += filt[ABS(y_tmp)+ABS(x_filt)]; + else /* ((x_base-x_overhang) IS mx_pos) */ + for (x_res=x_base, x_filt=x_base-ABS(x_overhang); + x_filt > x_base-x_dim; + x_filt--, x_res--) + for (x_tmp=x_filt; x_tmp > x_base-x_dim; x_tmp--) + result[ABS(y_res)+ABS(x_res)] += filt[ABS(y_tmp)+ABS(x_tmp)]; + } /* End, if r_or_e IS EXPAND */ + + return(0); + } + +/* -------------------------------------------------------------------- +extend() - Extend image by reflecting and inverting about edge pixel +value. Maintains continuity in intensity AND first derivative (but +not higher derivs). +*/ + +int Extend(filt,x_dim,y_dim,x_pos,y_pos,result,r_or_e) + register double *filt, *result; + register int x_dim; + int y_dim, x_pos, y_pos, r_or_e; + { + int filt_sz = x_dim*y_dim; + register int y_filt,x_filt, y_res,x_res, y_tmp, x_tmp; + register int x_base = (x_pos>0)?(x_dim-1):0; + register int y_base = x_dim * ((y_pos>0)?(y_dim-1):0); + int x_overhang = (x_pos>0)?(x_pos-1):((x_pos<0)?(x_pos+1):0); + int y_overhang = x_dim * ((y_pos>0)?(y_pos-1):((y_pos<0)?(y_pos+1):0)); + int mx_pos = (x_pos<0)?(x_dim/2):((x_dim-1)/2); + int my_pos = x_dim * ((y_pos<0)?(y_dim/2):((y_dim-1)/2)); + int i; + + for (i=0; i<filt_sz; i++) result[i] = 0.0; + + /* Modeled on reflect1() */ + if (r_or_e IS REDUCE) + for (y_filt=0, y_res=y_overhang; + y_filt<filt_sz; + y_filt+=x_dim, y_res+=x_dim) + if ((y_res>=0) AND (y_res<filt_sz)) + for (x_filt=y_filt, x_res=x_overhang; + x_filt<y_filt+x_dim; + x_filt++, x_res++) + if ((x_res>=0) AND (x_res<x_dim)) + result[y_res+x_res] += filt[x_filt]; + else + { + result[y_res+ABS(x_base-ABS(x_res-x_base))] -= filt[x_filt]; + result[y_res+x_base] += 2*filt[x_filt]; + } + else + for (x_filt=y_filt, x_res=x_overhang; + x_filt<y_filt+x_dim; + x_filt++, x_res++) + if ((x_res>=0) AND (x_res<x_dim)) + { + result[ABS(y_base-ABS(y_res-y_base))+x_res] -= filt[x_filt]; + result[y_base+x_res] += 2*filt[x_filt]; + } + else + { + result[ABS(y_base-ABS(y_res-y_base))+ABS(x_base-ABS(x_res-x_base))] + -= filt[x_filt]; + result[y_base+x_base] += 2*filt[x_filt]; + } + else { /* r_or_e ISNT REDUCE */ + y_overhang = ABS(y_overhang); + x_overhang = ABS(x_overhang); + for (y_res=y_base, y_filt = y_base-y_overhang; + y_filt > y_base-filt_sz; + y_filt-=x_dim, y_res-=x_dim) + { + for (x_res=x_base, x_filt=x_base-x_overhang; + x_filt > x_base-x_dim; + x_res--, x_filt--) + result[ABS(y_res)+ABS(x_res)] += filt[ABS(y_filt)+ABS(x_filt)]; + if (x_pos ISNT 0) + if (x_overhang ISNT mx_pos) + for (x_res=x_base, x_filt=x_base-2*mx_pos+x_overhang; + x_filt > x_base-x_dim; + x_res--, x_filt--) + result[ABS(y_res)+ABS(x_res)] -= filt[ABS(y_filt)+ABS(x_filt)]; + else /* x_overhang IS mx_pos */ + for (x_res=x_base, x_filt=x_base-2*mx_pos+x_overhang-1; + x_filt > x_base-x_dim; + x_res--, x_filt--) + for (x_tmp=x_filt; x_tmp > x_base-x_dim; x_tmp--) + result[ABS(y_res)+ABS(x_res)] += 2*filt[ABS(y_filt)+ABS(x_tmp)]; + } + if (y_pos ISNT 0) + if (y_overhang ISNT my_pos) + for (y_res=y_base, y_filt = y_base-2*my_pos+y_overhang; + y_filt > y_base-filt_sz; + y_filt-=x_dim, y_res-=x_dim) + { + for (x_res=x_base, x_filt=x_base-x_overhang; + x_filt > x_base-x_dim; + x_res--, x_filt--) + result[ABS(y_res)+ABS(x_res)] -= filt[ABS(y_filt)+ABS(x_filt)]; + if ((x_pos ISNT 0) AND (x_overhang ISNT mx_pos)) + for (x_res=x_base, x_filt=x_base-2*mx_pos+x_overhang; + x_filt > x_base-x_dim; + x_res--, x_filt--) + result[ABS(y_res)+ABS(x_res)] -= filt[ABS(y_filt)+ABS(x_filt)]; + } + else /* y_overhang IS my_pos */ + for (y_res=y_base, y_filt = y_base-2*my_pos+y_overhang-x_dim; + y_filt > y_base-filt_sz; + y_res-=x_dim, y_filt-=x_dim) + for (y_tmp=y_filt; y_tmp > y_base-filt_sz; y_tmp-=x_dim) + { + for (x_res=x_base, x_filt=x_base-x_overhang; + x_filt > x_base-x_dim; + x_res--, x_filt--) + result[ABS(y_res)+ABS(x_res)] += 2*filt[ABS(y_tmp)+ABS(x_filt)]; + if ((x_pos ISNT 0) AND (x_overhang IS mx_pos)) + for (x_res=x_base, x_filt=x_base-2*mx_pos+x_overhang-1; + x_filt > x_base-x_dim; + x_res--, x_filt--) + for (x_tmp=x_filt; x_tmp > x_base-x_dim; x_tmp--) + result[ABS(y_res)+ABS(x_res)] += 2*filt[ABS(y_tmp)+ABS(x_tmp)]; + } + } /* r_or_e ISNT REDUCE */ + + return(0); + } + +/* -------------------------------------------------------------------- +predict() - Simple prediction. Like zero, but multiplies the result +by the reciprocal of the percentage of filter being used. (i.e. if +50% of the filter is hanging over the edge of the image, multiply the +taps being used by 2). */ + +int predict(filt,x_dim,y_dim,x_pos,y_pos,result,r_or_e) + register double *filt, *result; + register int x_dim; + int y_dim, x_pos, y_pos, r_or_e; + { + register int y_filt,x_filt, y_res,x_res; + register double taps_used = 0.0; /* int *** */ + register double fraction = 0.0; + int filt_sz = x_dim*y_dim; + int x_start = ((x_pos>0)?(x_pos-1):((x_pos<0)?(x_pos+1):0)); + int y_start = x_dim * ((y_pos>0)?(y_pos-1):((y_pos<0)?(y_pos+1):0)); + int i; + + for (i=0; i<filt_sz; i++) result[i] = 0.0; + + for (y_filt=0, y_res=y_start; + y_filt<filt_sz; + y_filt+=x_dim, y_res+=x_dim) + if ((y_res >= 0) AND (y_res < filt_sz)) + for (x_filt=y_filt, x_res=x_start; + x_filt<y_filt+x_dim; + x_filt++, x_res++) + if ((x_res >= 0) AND (x_res < x_dim)) + { + result[y_res+x_res] = filt[x_filt]; + taps_used += ABS(filt[x_filt]); + } + + if (r_or_e IS REDUCE) + { + /* fraction = ( (double) filt_sz ) / ( (double) taps_used ); */ + for (i=0; i<filt_sz; i++) fraction += ABS(filt[i]); + fraction = ( fraction / taps_used ); + for (i=0; i<filt_sz; i++) result[i] *= fraction; + } + return(0); + } + + +/* -------------------------------------------------------------------- +Reflect, multiplying tap of filter which is at the edge of the image +by root 2. This maintains orthogonality of odd-length linear-phase +QMF filters, but it is not useful for most applications, since it +alters the DC level. */ + +int ereflect(filt,x_dim,y_dim,x_pos,y_pos,result,r_or_e) + register double *filt, *result; + register int x_dim; + int y_dim, x_pos, y_pos, r_or_e; + { + register int y_filt,x_filt, y_res,x_res; + register int x_base = (x_pos>0)?(x_dim-1):0; + register int y_base = x_dim * ((y_pos>0)?(y_dim-1):0); + int filt_sz = x_dim*y_dim; + int x_overhang = (x_pos>1)?(x_pos-x_dim):((x_pos<-1)?(x_pos+1):0); + int y_overhang = x_dim * ( (y_pos>1)?(y_pos-y_dim):((y_pos<-1)?(y_pos+1):0) ); + int i; + double norm,onorm; + + for (i=0; i<filt_sz; i++) result[i] = 0.0; + + /* reflect at boundary */ + for (y_filt=0, y_res=y_overhang; + y_filt<filt_sz; + y_filt+=x_dim, y_res+=x_dim) + for (x_filt=y_filt, x_res=x_overhang; + x_filt<y_filt+x_dim; + x_filt++, x_res++) + result[ABS(y_base-ABS(y_res)) + ABS(x_base-ABS(x_res))] + += filt[x_filt]; + + /* now multiply edge by root 2 */ + if (x_pos ISNT 0) + for (y_filt=x_base; y_filt<filt_sz; y_filt+=x_dim) + result[y_filt] *= ROOT2; + if (y_pos ISNT 0) + for (x_filt=y_base; x_filt<y_base+x_dim; x_filt++) + result[x_filt] *= ROOT2; + + /* now normalize to norm of original filter */ + for (norm=0.0,i=0; i<filt_sz; i++) + norm += (result[i]*result[i]); + norm=sqrt(norm); + + for (onorm=0.0,i=0; i<filt_sz; i++) + onorm += (filt[i]*filt[i]); + onorm = sqrt(onorm); + + norm = norm/onorm; + for (i=0; i<filt_sz; i++) + result[i] /= norm; + return(0); + } + + +/* ------- printout stuff for testing ------------------------------ + printf("Xpos: %d, Ypos: %d", x_pos, y_pos); + for (y_filt=0; y_filt<y_dim; y_filt++) + { + printf("\n"); + for (x_filt=0; x_filt<x_dim; x_filt++) + printf("%6.1f", result[y_filt*x_dim+x_filt]); + } + printf("\n"); +*/ + + + +/* Local Variables: */ +/* buffer-read-only: t */ +/* End: */ diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/histo.c b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/histo.c new file mode 100644 index 0000000..43a99c7 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/histo.c @@ -0,0 +1,140 @@ +/* +[N, X] = histo(MTX, NBINS_OR_BINSIZE, BIN_CENTER) + >>> See histo.m for documentation <<< + EPS, ported from OBVIUS, 3/97. +*/ + +#define V4_COMPAT +#include <matrix.h> /* Matlab matrices */ +#include <mex.h> + +#include <stddef.h> /* NULL */ +#include <math.h> /* ceil */ + +#define notDblMtx(it) (!mxIsNumeric(it) || !mxIsDouble(it) || mxIsSparse(it) || mxIsComplex(it)) + +#define PAD 0.49999 /* A hair below 1/2, to avoid roundoff errors */ +#define MAXBINS 20000 + +void mexFunction(int nlhs, /* Num return vals on lhs */ + mxArray *plhs[], /* Matrices on lhs */ + int nrhs, /* Num args on rhs */ + const mxArray *prhs[] /* Matrices on rhs */ + ) + { + register double temp; + register int binnum, i, size; + register double *im, binsize; + register double origin, *hist, mn, mx, mean; + register int nbins; + double *bincenters; + mxArray *arg; + double *mxMat; + + if (nrhs < 1 ) mexErrMsgTxt("requires at least 1 argument."); + + /* ARG 1: MATRIX */ + arg = prhs[0]; + if notDblMtx(arg) mexErrMsgTxt("MTX arg must be a real non-sparse matrix."); + im = mxGetPr(arg); + size = (int) mxGetM(arg) * mxGetN(arg); + + /* FIND min, max, mean values of MTX */ + mn = *im; mx = *im; binsize = 0; + for (i=1; i<size; i++) + { + temp = im[i]; + if (temp < mn) + mn = temp; + else if (temp > mx) + mx = temp; + binsize += temp; + } + mean = binsize / size; + + /* ARG 3: BIN_CENTER */ + if (nrhs > 2) + { + arg = prhs[2]; + if notDblMtx(arg) mexErrMsgTxt("BIN_CENTER arg must be a real scalar."); + if (mxGetM(arg) * mxGetN(arg) != 1) + mexErrMsgTxt("BIN_CENTER must be a real scalar."); + mxMat= mxGetPr(arg); + origin = *mxMat; + } + else + origin = mean; + + /* ARG 2: If positive, NBINS. If negative, -BINSIZE. */ + if (nrhs > 1) + { + arg = prhs[1]; + if notDblMtx(arg) mexErrMsgTxt("NBINS_OR_BINSIZE arg must be a real scalar."); + if (mxGetM(arg) * mxGetN(arg) != 1) + mexErrMsgTxt("NBINS_OR_BINSIZE must be a real scalar."); + mxMat= mxGetPr(arg); + binsize = *mxMat; + } + else + { + binsize = 101; /* DEFAULT: 101 bins */ + } + + /* -------------------------------------------------- + Adjust origin, binsize, nbins such that + mx <= origin + (nbins-1)*binsize + PAD*binsize + mn >= origin - PAD*binsize + -------------------------------------------------- */ + if (binsize < 0) /* user specified BINSIZE */ + { + binsize = -binsize; + origin -= binsize * ceil((origin-mn-PAD*binsize)/binsize); + nbins = (int) ceil((mx-origin-PAD*binsize)/binsize) + 1; + } + else /* user specified NBINS */ + { + nbins = (int) (binsize + 0.5); /* round to int */ + if (nbins == 0) + mexErrMsgTxt("NBINS must be greater than zero."); + binsize = (mx-mn)/(nbins-1+2*PAD); /* start with lower bound */ + i = ceil((origin-mn-binsize/2)/binsize); + if ( mn < (origin-i*binsize-PAD*binsize) ) + binsize = (origin-mn)/(i+PAD); + else if ( mx > (origin+(nbins-1-i)*binsize+PAD*binsize) ) + binsize = (mx-origin)/((nbins-1-i)+PAD); + origin -= binsize * ceil((origin-mn-PAD*binsize)/binsize); + } + + if (nbins > MAXBINS) + { + mexPrintf("nbins: %d, MAXBINS: %d\n",nbins,MAXBINS); + mexErrMsgTxt("Number of histo bins has exceeded maximum"); + } + + /* Allocate hist and xvals */ + plhs[0] = (mxArray *) mxCreateDoubleMatrix(1,nbins,mxREAL); + if (plhs[0] == NULL) mexErrMsgTxt("Error allocating result matrix"); + hist = mxGetPr(plhs[0]); + + if (nlhs > 1) + { + plhs[1] = (mxArray *) mxCreateDoubleMatrix(1,nbins,mxREAL); + if (plhs[1] == NULL) mexErrMsgTxt("Error allocating result matrix"); + bincenters = mxGetPr(plhs[1]); + for (i=0, temp=origin; i<nbins; i++, temp+=binsize) + bincenters[i] = temp; + } + + for (i=0; i<size; i++) + { + binnum = (int) ((im[i] - origin)/binsize + 0.5); + if ((binnum < nbins) && (binnum >= 0)) + (hist[binnum]) += 1.0; + else + printf("HISTO warning: value %f outside of range [%f,%f]\n", + im[i], origin-0.5*binsize, origin+(nbins-0.5)*binsize); + } + + return; + } + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/histo.c~ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/histo.c~ new file mode 100644 index 0000000..accc710 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/histo.c~ @@ -0,0 +1,146 @@ +/* +[N, X] = histo(MTX, NBINS_OR_BINSIZE, BIN_CENTER) + >>> See histo.m for documentation <<< + EPS, ported from OBVIUS, 3/97. +*/ + +/* Matlab V4 types should be changed as follows: + mxArray -> mxArray + REAL -> mxREAL + mxCreateFull -> mxCreateDoubleMatrix + */ + +#define V4_COMPAT +#include <matrix.h> /* Matlab matrices */ +#include <mex.h> + +#include <stddef.h> /* NULL */ +#include <math.h> /* ceil */ + +#define notDblMtx(it) (!mxIsNumeric(it) || !mxIsDouble(it) || mxIsSparse(it) || mxIsComplex(it)) + +#define PAD 0.49999 /* A hair below 1/2, to avoid roundoff errors */ +#define MAXBINS 4000 + +void mexFunction(int nlhs, /* Num return vals on lhs */ + mxArray *plhs[], /* Matrices on lhs */ + int nrhs, /* Num args on rhs */ + const mxArray *prhs[] /* Matrices on rhs */ + ) + { + register double temp; + register int binnum, i, size; + register double *im, binsize; + register double origin, *hist, mn, mx, mean; + register int nbins; + double *bincenters; + mxArray *arg; + double *mxMat; + + if (nrhs < 1 ) mexErrMsgTxt("requires at least 1 argument."); + + /* ARG 1: MATRIX */ + arg = prhs[0]; + if notDblMtx(arg) mexErrMsgTxt("MTX arg must be a real non-sparse matrix."); + im = mxGetPr(arg); + size = (int) mxGetM(arg) * mxGetN(arg); + + /* FIND min, max, mean values of MTX */ + mn = *im; mx = *im; binsize = 0; + for (i=1; i<size; i++) + { + temp = im[i]; + if (temp < mn) + mn = temp; + else if (temp > mx) + mx = temp; + binsize += temp; + } + mean = binsize / size; + + /* ARG 3: BIN_CENTER */ + if (nrhs > 2) + { + arg = prhs[2]; + if notDblMtx(arg) mexErrMsgTxt("BIN_CENTER arg must be a real scalar."); + if (mxGetM(arg) * mxGetN(arg) != 1) + mexErrMsgTxt("BIN_CENTER must be a real scalar."); + mxMat= mxGetPr(arg); + origin = *mxMat; + } + else + origin = mean; + + /* ARG 2: If positive, NBINS. If negative, -BINSIZE. */ + if (nrhs > 1) + { + arg = prhs[1]; + if notDblMtx(arg) mexErrMsgTxt("NBINS_OR_BINSIZE arg must be a real scalar."); + if (mxGetM(arg) * mxGetN(arg) != 1) + mexErrMsgTxt("NBINS_OR_BINSIZE must be a real scalar."); + mxMat= mxGetPr(arg); + binsize = *mxMat; + } + else + { + binsize = 101; /* DEFAULT: 101 bins */ + } + + /* -------------------------------------------------- + Adjust origin, binsize, nbins such that + mx <= origin + (nbins-1)*binsize + PAD*binsize + mn >= origin - PAD*binsize + -------------------------------------------------- */ + if (binsize < 0) /* user specified BINSIZE */ + { + binsize = -binsize; + origin -= binsize * ceil((origin-mn-PAD*binsize)/binsize); + nbins = (int) ceil((mx-origin-PAD*binsize)/binsize) + 1; + } + else /* user specified NBINS */ + { + nbins = (int) (binsize + 0.5); /* round to int */ + if (nbins == 0) + mexErrMsgTxt("NBINS must be greater than zero."); + binsize = (mx-mn)/(nbins-1+2*PAD); /* start with lower bound */ + i = ceil((origin-mn-binsize/2)/binsize); + if ( mn < (origin-i*binsize-PAD*binsize) ) + binsize = (origin-mn)/(i+PAD); + else if ( mx > (origin+(nbins-1-i)*binsize+PAD*binsize) ) + binsize = (mx-origin)/((nbins-1-i)+PAD); + origin -= binsize * ceil((origin-mn-PAD*binsize)/binsize); + } + + if (nbins > MAXBINS) + { + mexPrintf("nbins: %d, MAXBINS: %d\n",nbins,MAXBINS); + mexErrMsgTxt("Number of histo bins has exceeded maximum"); + } + + /* Allocate hist and xvals */ + plhs[0] = (mxArray *) mxCreateDoubleMatrix(1,nbins,mxREAL); + if (plhs[0] == NULL) mexErrMsgTxt("Error allocating result matrix"); + hist = mxGetPr(plhs[0]); + + if (nlhs > 1) + { + plhs[1] = (mxArray *) mxCreateDoubleMatrix(1,nbins,mxREAL); + if (plhs[1] == NULL) mexErrMsgTxt("Error allocating result matrix"); + bincenters = mxGetPr(plhs[1]); + for (i=0, temp=origin; i<nbins; i++, temp+=binsize) + bincenters[i] = temp; + } + + for (i=0; i<size; i++) + { + binnum = (int) ((im[i] - origin)/binsize + 0.5); + if ((binnum 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--git "a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/histo.\302\265.exp" "b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/histo.\302\265.exp" new file mode 100644 index 0000000..b95a258 --- /dev/null +++ "b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/histo.\302\265.exp" @@ -0,0 +1 @@ +mexFunction \ No newline at end of file diff --git "a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/histo.\302\265.rsrc" "b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/histo.\302\265.rsrc" new file mode 100644 index 0000000..e69de29 diff --git "a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/histo.\317\200.4" "b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/histo.\317\200.4" new file mode 100644 index 0000000..e69de29 diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/innerProd.c b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/innerProd.c new file mode 100644 index 0000000..8fa1224 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/innerProd.c @@ -0,0 +1,52 @@ +/* +RES = innerProd(MAT); + Computes mat'*mat + Odelia Schwartz, 8/97. +*/ + +#define V4_COMPAT +#include <matrix.h> + +#include <stdio.h> +#include <ctype.h> +#include <math.h> +#include <strings.h> +#include <stdlib.h> + +void mexFunction(int nlhs, /* Num return vals on lhs */ + mxArray *plhs[], /* Matrices on lhs */ + int nrhs, /* Num args on rhs */ + const mxArray *prhs[] /* Matrices on rhs */ + ) +{ + register double *res, *mat, tmp; + register int len, wid, i, k, j, jlen, ilen, imat, jmat; + mxArray *arg; + + /* get matrix input argument */ + /* should be matrix in which num rows >= num columns */ + arg=prhs[0]; + mat= mxGetPr(arg); + len = (int) mxGetM(arg); + wid = (int) mxGetN(arg); + if ( wid > len ) + printf("innerProd: Warning: width %d is greater than length %d.\n",wid,len); + plhs[0] = (mxArray *) mxCreateDoubleMatrix(wid,wid,mxREAL); + if (plhs[0] == NULL) + mexErrMsgTxt(sprintf("Error allocating %dx%d result matrix",wid,wid)); + res = mxGetPr(plhs[0]); + + for(i=0, ilen=0; i<wid; i++, ilen+=len) + { + for(j=i, jlen=ilen; j<wid; j++, jlen+=len) + { + tmp = 0.0; + for(k=0, imat=ilen, jmat=jlen; k<len; k++, imat++, jmat++) + tmp += mat[imat]*mat[jmat]; + res[i*wid+j] = tmp; + res[j*wid+i] = tmp; + } + } + return; + +} diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/innerProd.dll b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/innerProd.dll new file mode 100644 index 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a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/pointOp.c b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/pointOp.c new file mode 100644 index 0000000..6ffcb45 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/pointOp.c @@ -0,0 +1,126 @@ +/* +RES = pointOp(IM, LUT, ORIGIN, INCREMENT, WARNINGS) + >>> See pointOp.m for documentation <<< + EPS, ported from OBVIUS, 7/96. +*/ + +#define V4_COMPAT +#include <matrix.h> /* Matlab matrices */ +#include <mex.h> + +#include <stddef.h> /* NULL */ + +#define notDblMtx(it) (!mxIsNumeric(it) || !mxIsDouble(it) || mxIsSparse(it) || mxIsComplex(it)) + +void internal_pointop(); + +void mexFunction(int nlhs, /* Num return vals on lhs */ + mxArray *plhs[], /* Matrices on lhs */ + int nrhs, /* Num args on rhs */ + const mxArray *prhs[] /* Matrices on rhs */ + ) + { + double *image, *lut, *res; + double origin, increment; + int x_dim, y_dim, lx_dim, ly_dim; + int warnings = 1; + mxArray *arg; + double *mxMat; + + if (nrhs < 4 ) mexErrMsgTxt("requres at least 4 args."); + + /* ARG 1: IMAGE */ + arg = prhs[0]; + if notDblMtx(arg) mexErrMsgTxt("IMAGE arg must be a real non-sparse matrix."); + image = mxGetPr(arg); + x_dim = (int) mxGetM(arg); /* X is inner index! */ + y_dim = (int) mxGetN(arg); + + /* ARG 2: Lookup table */ + arg = prhs[1]; + if notDblMtx(arg) mexErrMsgTxt("LUT arg must be a real non-sparse matrix."); + lut = mxGetPr(arg); + lx_dim = (int) mxGetM(arg); /* X is inner index! */ + ly_dim = (int) mxGetN(arg); + if ( (lx_dim != 1) && (ly_dim != 1) ) + mexErrMsgTxt("Lookup table must be a row or column vector."); + + /* ARG 3: ORIGIN */ + arg = prhs[2]; + if notDblMtx(arg) mexErrMsgTxt("ORIGIN arg must be a real scalar."); + if (mxGetM(arg) * mxGetN(arg) != 1) + mexErrMsgTxt("ORIGIN arg must be a real scalar."); + mxMat = mxGetPr(arg); + origin = *mxMat; + + /* ARG 4: INCREMENT */ + arg = prhs[3]; + if notDblMtx(arg) mexErrMsgTxt("INCREMENT arg must be a real scalar."); + if (mxGetM(arg) * mxGetN(arg) != 1) + mexErrMsgTxt("INCREMENT arg must be a real scalar."); + mxMat = mxGetPr(arg); + increment = *mxMat; + + /* ARG 5: WARNINGS */ + if (nrhs>4) + { + arg = prhs[4]; + if notDblMtx(arg) mexErrMsgTxt("WARINGS arg must be a real scalar."); + if (mxGetM(arg) * mxGetN(arg) != 1) + mexErrMsgTxt("WARNINGS arg must be a real scalar."); + mxMat = mxGetPr(arg); + warnings = (int) *mxMat; + } + + plhs[0] = (mxArray *) mxCreateDoubleMatrix(x_dim,y_dim,mxREAL); + if (plhs[0] == NULL) mexErrMsgTxt("Cannot allocate result matrix"); + res = mxGetPr(plhs[0]); + + internal_pointop(image, res, x_dim*y_dim, lut, lx_dim*ly_dim, + origin, increment, warnings); + return; + } + + +/* Use linear interpolation on a lookup table. + Taken from OBVIUS. EPS, Spring, 1987. + */ +void internal_pointop (im, res, size, lut, lutsize, origin, increment, warnings) + register double *im, *res, *lut; + register double origin, increment; + register int size, lutsize, warnings; + { + register int i, index; + register double pos; + register int l_unwarned = warnings; + register int r_unwarned = warnings; + + lutsize = lutsize - 2; /* Maximum index value */ + if (increment > 0) + for (i=0; i<size; i++) + { + pos = (im[i] - origin) / increment; + index = (int) pos; /* Floor */ + if (index < 0) + { + index = 0; + if (l_unwarned) + { + mexPrintf("Warning: Extrapolating to left of lookup table...\n"); + l_unwarned = 0; + } + } + else if (index > lutsize) + { + index = lutsize; + if (r_unwarned) + { + mexPrintf("Warning: Extrapolating to right of lookup table...\n"); + r_unwarned = 0; + } + } + res[i] = lut[index] + (lut[index+1] - lut[index]) * (pos - index); + } + else + for (i=0; i<size; i++) res[i] = *lut; + } diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/pointOp.c~ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/pointOp.c~ new file mode 100644 index 0000000..9f3d5fa --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/pointOp.c~ @@ -0,0 +1,132 @@ +/* +RES = pointOp(IM, LUT, ORIGIN, INCREMENT, WARNINGS) + >>> See pointOp.m for documentation <<< + EPS, ported from OBVIUS, 7/96. +*/ + +/* Matlab V4 types should be changed as follows: + mxArray -> mxArray + REAL -> mxREAL + mxCreateFull -> mxCreateDoubleMatrix + */ + +#define V4_COMPAT +#include <matrix.h> /* Matlab matrices */ +#include <mex.h> + +#include <stddef.h> /* NULL */ + +#define notDblMtx(it) (!mxIsNumeric(it) || !mxIsDouble(it) || mxIsSparse(it) || mxIsComplex(it)) + +void internal_pointop(); + +void mexFunction(int nlhs, /* Num return vals on lhs */ + mxArray *plhs[], /* Matrices on lhs */ + int nrhs, /* Num args on rhs */ + const mxArray *prhs[] /* Matrices on rhs */ + ) + { + double *image, *lut, *res; + double origin, increment; + int x_dim, y_dim, lx_dim, ly_dim; + int warnings = 1; + mxArray *arg; + double *mxMat; + + if (nrhs < 4 ) mexErrMsgTxt("requres at least 4 args."); + + /* ARG 1: IMAGE */ + arg = prhs[0]; + if notDblMtx(arg) mexErrMsgTxt("IMAGE arg must be a real non-sparse matrix."); + image = mxGetPr(arg); + x_dim = (int) mxGetM(arg); /* X is inner index! */ + y_dim = (int) mxGetN(arg); + + /* ARG 2: Lookup table */ + arg = prhs[1]; + if notDblMtx(arg) mexErrMsgTxt("LUT arg must be a real non-sparse matrix."); + lut = mxGetPr(arg); + lx_dim = (int) mxGetM(arg); /* X is inner index! */ + ly_dim = (int) mxGetN(arg); + if ( (lx_dim != 1) && (ly_dim != 1) ) + mexErrMsgTxt("Lookup table must be a row or column vector."); + + /* ARG 3: ORIGIN */ + arg = prhs[2]; + if notDblMtx(arg) mexErrMsgTxt("ORIGIN arg must be a real scalar."); + if (mxGetM(arg) * mxGetN(arg) != 1) + mexErrMsgTxt("ORIGIN arg must be a real scalar."); + mxMat = mxGetPr(arg); + origin = *mxMat; + + /* ARG 4: INCREMENT */ + arg = prhs[3]; + if notDblMtx(arg) mexErrMsgTxt("INCREMENT arg must be a real scalar."); + if (mxGetM(arg) * mxGetN(arg) != 1) + mexErrMsgTxt("INCREMENT arg must be a real scalar."); + mxMat = mxGetPr(arg); + increment = *mxMat; + + /* ARG 5: WARNINGS */ + if (nrhs>4) + { + arg = prhs[4]; + if notDblMtx(arg) mexErrMsgTxt("WARINGS arg must be a real scalar."); + if (mxGetM(arg) * mxGetN(arg) != 1) + mexErrMsgTxt("WARNINGS arg must be a real scalar."); + mxMat = mxGetPr(arg); + warnings = (int) *mxMat; + } + + plhs[0] = (mxArray *) mxCreateDoubleMatrix(x_dim,y_dim,mxREAL); + if (plhs[0] == NULL) mexErrMsgTxt("Cannot allocate result matrix"); + res = mxGetPr(plhs[0]); + + internal_pointop(image, res, x_dim*y_dim, lut, lx_dim*ly_dim, + origin, increment, warnings); + return; + } + + +/* Use linear interpolation on a lookup table. + Taken from OBVIUS. 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zWnK5|h2DF6@4|cg=zD+2FZ|Em`;*fi)O&0GKD~DkUCaD?D{pPzyAZgctM48Dg7n@S Zeiy>`uhx6p(|xl)_+a|&v%ea`{|EMs#f<;} literal 0 HcmV?d00001 diff --git "a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/pointOp.\302\265.exp" "b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/pointOp.\302\265.exp" new file mode 100644 index 0000000..b95a258 --- /dev/null +++ "b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/pointOp.\302\265.exp" @@ -0,0 +1 @@ +mexFunction \ No newline at end of file diff --git "a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/pointOp.\302\265.rsrc" "b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/pointOp.\302\265.rsrc" new file mode 100644 index 0000000..e69de29 diff --git "a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/pointOp.\317\200.4" "b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/pointOp.\317\200.4" new file mode 100644 index 0000000..e69de29 diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/range2.c b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/range2.c new file mode 100644 index 0000000..b84f4e1 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/range2.c @@ -0,0 +1,56 @@ +/* +[MIN, MAX] = range2(MTX) + >>> See range2.m for documentation <<< + EPS, 3/97. +*/ + +#define V4_COMPAT +#include <matrix.h> /* Matlab matrices */ +#include <mex.h> + +#include <stddef.h> /* NULL */ + +#define notDblMtx(it) (!mxIsNumeric(it) || !mxIsDouble(it) || mxIsSparse(it) || mxIsComplex(it)) + +void mexFunction(int nlhs, /* Num return vals on lhs */ + mxArray *plhs[], /* Matrices on lhs */ + int nrhs, /* Num args on rhs */ + const mxArray *prhs[] /* Matrices on rhs */ + ) + { + register double temp, mn, mx; + register double *mtx; + register int i, size; + mxArray *arg; + + if (nrhs != 1) mexErrMsgTxt("requires 1 argument."); + + /* ARG 1: MATRIX */ + arg = prhs[0]; + if notDblMtx(arg) mexErrMsgTxt("MTX arg must be a real non-sparse matrix."); + mtx = mxGetPr(arg); + size = (int) mxGetM(arg) * mxGetN(arg); + + /* FIND min, max values of MTX */ + mn = *mtx; mx = *mtx; + for (i=1; i<size; i++) + { + temp = mtx[i]; + if (temp < mn) + mn = temp; + else if (temp > mx) + mx = temp; + } + + plhs[0] = (mxArray *) mxCreateDoubleMatrix(1,1,mxREAL); + if (plhs[0] == NULL) mexErrMsgTxt("Error allocating result matrix"); + plhs[1] = (mxArray *) mxCreateDoubleMatrix(1,1,mxREAL); + if (plhs[1] == NULL) mexErrMsgTxt("Error allocating result matrix"); + mtx = mxGetPr(plhs[0]); + mtx[0] = mn; + mtx = mxGetPr(plhs[1]); + mtx[0] = mx; + + return; + } + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/range2.c~ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/range2.c~ new file mode 100644 index 0000000..489f54a --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/range2.c~ @@ -0,0 +1,62 @@ +/* +[MIN, MAX] = range2(MTX) + >>> See range2.m for documentation <<< + EPS, 3/97. +*/ + +/* Matlab V4 types should be changed as follows: + mxArray -> mxArray + REAL -> mxREAL + mxCreateFull -> mxCreateDoubleMatrix + */ + +#define V4_COMPAT +#include <matrix.h> /* Matlab matrices */ +#include <mex.h> + +#include <stddef.h> /* NULL */ + +#define notDblMtx(it) (!mxIsNumeric(it) || !mxIsDouble(it) || mxIsSparse(it) || mxIsComplex(it)) + +void mexFunction(int nlhs, /* Num return vals on lhs */ + mxArray *plhs[], /* Matrices on lhs */ + int nrhs, /* Num args on rhs */ + const mxArray *prhs[] /* Matrices on rhs */ + ) + { + register double temp, mn, mx; + register double *mtx; + register int i, size; + mxArray *arg; + + if (nrhs != 1) mexErrMsgTxt("requires 1 argument."); + + /* ARG 1: MATRIX */ + arg = prhs[0]; + if notDblMtx(arg) mexErrMsgTxt("MTX arg must be a real non-sparse matrix."); + mtx = mxGetPr(arg); + size = (int) mxGetM(arg) * mxGetN(arg); + + /* FIND min, max values of MTX */ + mn = *mtx; mx = *mtx; + for (i=1; i<size; i++) + { + temp = mtx[i]; + if (temp < mn) + mn = temp; + else if (temp > mx) + mx = temp; + } + + plhs[0] = (mxArray *) mxCreateDoubleMatrix(1,1,mxREAL); + if (plhs[0] == NULL) mexErrMsgTxt("Error allocating result matrix"); + plhs[1] = (mxArray *) mxCreateDoubleMatrix(1,1,mxREAL); + if (plhs[1] == NULL) mexErrMsgTxt("Error allocating result matrix"); + mtx = mxGetPr(plhs[0]); + mtx[0] = mn; + mtx = mxGetPr(plhs[1]); + mtx[0] = mx; + + return; + } + diff --git 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z%IiB7#HFi*>s_w<c$hZ|ukUGp;oZfHy;AjZg;77Dd<Og5Ya7zMn#Aku_yC=rkMn%4 z!MDYe(Xlu4nH{aIZCjd}Mao}bk(H1!_gu`8J=SK{Yki)5Z4m&8ls(ea{ENw`cpQT8 z#o>5wXJj2|U-e2Qq+ag7cW?`TT6uEnQzY+F?^|3E^w>2t?v$)s7G|U8LbcoBRpTRZ zZ|cAAUA|!j6y=9@ENj<%!@|gxP3u_a!-M~mg)sQZ5b7`RV-<h3ivP_)S7)Aj%74SZ z`CS(DJN}2uou0RzpMRB5?!?gzkb3y1`tTv2q6zbB`LBaUhqxNH{b&C>_}wuJThE_5 zbWQr@fj{BDF5B9@XsP$RgFyAdDt+#xUr(Pq=vs2xL;BsTUzvV)#Mjg3s`f2M@VsYr j^|_p$X8zA{+>H6H8}z%)kHlYP&v^#_W$!rQnh^dU)#7Wu literal 0 HcmV?d00001 diff --git "a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/range2.\302\265.exp" "b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/range2.\302\265.exp" new file mode 100644 index 0000000..b95a258 --- /dev/null +++ "b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/range2.\302\265.exp" @@ -0,0 +1 @@ +mexFunction \ No newline at end of file diff --git "a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/range2.\302\265.rsrc" "b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/range2.\302\265.rsrc" new file mode 100644 index 0000000..e69de29 diff --git "a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/range2.\317\200.4" "b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/range2.\317\200.4" new file mode 100644 index 0000000..e69de29 diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/upConv.c b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/upConv.c new file mode 100644 index 0000000..3708f8a --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/upConv.c @@ -0,0 +1,195 @@ +/* +RES = upConv(IM, FILT, EDGES, STEP, START, STOP, RES); + >>> See upConv.m for documentation <<< + This is a matlab interface to the internal_expand function. + EPS, 7/96. +*/ + +#define V4_COMPAT +#include <matrix.h> /* Matlab matrices */ +#include <mex.h> + +#include "convolve.h" + +#define notDblMtx(it) (!mxIsNumeric(it) || !mxIsDouble(it) || mxIsSparse(it) || mxIsComplex(it)) + +void mexFunction(int nlhs, /* Num return vals on lhs */ + mxArray *plhs[], /* Matrices on lhs */ + int nrhs, /* Num args on rhs */ + const mxArray *prhs[] /* Matrices on rhs */ + ) + { + double *image,*filt, *temp, *result, *orig_filt; + int x_fdim, y_fdim, x_idim, y_idim; + int orig_x = 0, orig_y, x, y; + int x_rdim, y_rdim; + int x_start = 1; + int x_step = 1; + int y_start = 1; + int y_step = 1; + int x_stop, y_stop; + mxArray *arg; + double *mxMat; + char edges[15] = "reflect1"; + + if (nrhs<2) mexErrMsgTxt("requres at least 2 args."); + + /* ARG 1: IMAGE */ + arg = prhs[0]; + if notDblMtx(arg) mexErrMsgTxt("IMAGE arg must be a non-sparse double float matrix."); + image = mxGetPr(arg); + x_idim = (int) mxGetM(arg); /* X is inner index! */ + y_idim = (int) mxGetN(arg); + + /* ARG 2: FILTER */ + arg = prhs[1]; + if notDblMtx(arg) mexErrMsgTxt("FILTER arg must be non-sparse double float matrix."); filt = mxGetPr(arg); + x_fdim = (int) mxGetM(arg); + y_fdim = (int) mxGetN(arg); + + /* ARG 3 (optional): EDGES */ + if (nrhs>2) + { + if (!mxIsChar(prhs[2])) + mexErrMsgTxt("EDGES arg must be a string."); + mxGetString(prhs[2],edges,15); + } + + /* ARG 4 (optional): STEP */ + if (nrhs>3) + { + arg = prhs[3]; + if notDblMtx(arg) mexErrMsgTxt("STEP arg must be double float matrix."); + if (mxGetM(arg) * mxGetN(arg) != 2) + mexErrMsgTxt("STEP arg must contain two elements."); + mxMat = mxGetPr(arg); + x_step = (int) mxMat[0]; + y_step = (int) mxMat[1]; + if ((x_step<1) || (y_step<1)) + mexErrMsgTxt("STEP values must be greater than zero."); + } + + /* ARG 5 (optional): START */ + if (nrhs>4) + { + arg = prhs[4]; + if notDblMtx(arg) mexErrMsgTxt("START arg must be double float matrix."); + if (mxGetM(arg) * mxGetN(arg) != 2) + mexErrMsgTxt("START arg must contain two elements."); + mxMat = mxGetPr(arg); + x_start = (int) mxMat[0]; + y_start = (int) mxMat[1]; + if ((x_start<1) || (y_start<1)) + mexErrMsgTxt("START values must be greater than zero."); + } + x_start--; /* convert to standard C indexes */ + y_start--; + + /* ARG 6 (optional): STOP */ + if (nrhs>5) + { + if notDblMtx(prhs[5]) mexErrMsgTxt("STOP arg must be double float matrix."); + if (mxGetM(prhs[5]) * mxGetN(prhs[5]) != 2) + mexErrMsgTxt("STOP arg must contain two elements."); + mxMat = mxGetPr(prhs[5]); + x_stop = (int) mxMat[0]; + y_stop = (int) mxMat[1]; + if ((x_stop<x_start) || (y_stop<y_start)) + mexErrMsgTxt("STOP values must be greater than START values."); + } + else + { /* default: make res dims a multiple of STEP size */ + x_stop = x_step * ((x_start/x_step) + x_idim); + y_stop = y_step * ((y_start/y_step) + y_idim); + } + + /* ARG 6 (optional): RESULT image */ + if (nrhs>6) + { + arg = prhs[6]; + if notDblMtx(arg) mexErrMsgTxt("RES arg must be double float matrix."); + + /* 7/10/97: Returning one of the args causes problems with Matlab's memory + manager, so we don't return anything if the result image is passed */ + /* plhs[0] = arg; */ + result = mxGetPr(arg); + x_rdim = (int) mxGetM(arg); /* X is inner index! */ + y_rdim = (int) mxGetN(arg); + if ((x_stop>x_rdim) || (y_stop>y_rdim)) + mexErrMsgTxt("STOP values must within image dimensions."); + } + else + { + x_rdim = x_stop; + y_rdim = y_stop; + /* x_rdim = x_step * ((x_stop+x_step-1)/x_step); + y_rdim = y_step * ((y_stop+y_step-1)/y_step); */ + + plhs[0] = (mxArray *) mxCreateDoubleMatrix(x_rdim,y_rdim,mxREAL); + if (plhs[0] == NULL) mexErrMsgTxt("Cannot allocate result matrix"); + result = mxGetPr(plhs[0]); + } + + if ( (((x_stop-x_start+x_step-1) / x_step) != x_idim) || + (((y_stop-y_start+y_step-1) / y_step) != y_idim) ) + { + mexPrintf("Im dims: [%d %d]\n",x_idim,y_idim); + mexPrintf("Start: [%d %d]\n",x_start,y_start); + mexPrintf("Step: [%d %d]\n",x_step,y_step); + mexPrintf("Stop: [%d %d]\n",x_stop,y_stop); + mexPrintf("Res dims: [%d %d]\n",x_rdim,y_rdim); + mexErrMsgTxt("Image sizes and upsampling args are incompatible!"); + } + + /* upConv has a bug for even-length kernels when using the + reflect1, extend, or repeat edge-handlers */ + if ((!strcmp(edges,"reflect1") || !strcmp(edges,"extend") || !strcmp(edges,"repeat")) + && + ((x_fdim%2 == 0) || (y_fdim%2 == 0))) + { + orig_filt = filt; + orig_x = x_fdim; + orig_y = y_fdim; + x_fdim = 2*(orig_x/2)+1; + y_fdim = 2*(orig_y/2)+1; + filt = mxCalloc(x_fdim*y_fdim, sizeof(double)); + if (filt == NULL) + mexErrMsgTxt("Cannot allocate necessary temporary space"); + for (y=0; y<orig_y; y++) + for (x=0; x<orig_x; x++) + filt[y*x_fdim + x] = orig_filt[y*orig_x + x]; + } + + if ((x_fdim > x_rdim) || (y_fdim > y_rdim)) + { + mexPrintf("Filter: [%d %d], ",x_fdim,y_fdim); + mexPrintf("Result: [%d %d]\n",x_rdim,y_rdim); + mexErrMsgTxt("FILTER dimensions larger than RESULT dimensions."); + } + + temp = mxCalloc(x_fdim*y_fdim, sizeof(double)); + if (temp == NULL) + mexErrMsgTxt("Cannot allocate necessary temporary space"); + + /* + printf("(%d, %d), (%d, %d), (%d, %d), (%d, %d), (%d, %d), %s\n", + x_idim,y_idim,x_fdim,y_fdim,x_rdim,y_rdim, + x_start,x_step,y_start,y_step,edges); + */ + + if (strcmp(edges,"circular") == 0) + internal_wrap_expand(image, filt, x_fdim, y_fdim, + x_start, x_step, x_stop, y_start, y_step, y_stop, + result, x_rdim, y_rdim); + else internal_expand(image, filt, temp, x_fdim, y_fdim, + x_start, x_step, x_stop, y_start, y_step, y_stop, + result, x_rdim, y_rdim, edges); + + if (orig_x) mxFree((char *) filt); + mxFree((char *) temp); + + return; + } + + + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/upConv.c~ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/upConv.c~ new file mode 100644 index 0000000..25a1f5a --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/upConv.c~ @@ -0,0 +1,201 @@ +/* +RES = upConv(IM, FILT, EDGES, STEP, START, STOP, RES); + >>> See upConv.m for documentation <<< + This is a matlab interface to the internal_expand function. + EPS, 7/96. +*/ + +/* Matlab V4 types should be changed as follows: + mxArray -> mxArray + REAL -> mxREAL + mxCreateDoubleMatrix -> mxCreateDoubleMatrix + */ + +#define V4_COMPAT +#include <matrix.h> /* Matlab matrices */ +#include <mex.h> + +#include "convolve.h" + +#define notDblMtx(it) (!mxIsNumeric(it) || !mxIsDouble(it) || mxIsSparse(it) || mxIsComplex(it)) + +void mexFunction(int nlhs, /* Num return vals on lhs */ + mxArray *plhs[], /* Matrices on lhs */ + int nrhs, /* Num args on rhs */ + const mxArray *prhs[] /* Matrices on rhs */ + ) + { + double *image,*filt, *temp, *result, *orig_filt; + int x_fdim, y_fdim, x_idim, y_idim; + int orig_x = 0, orig_y, x, y; + int x_rdim, y_rdim; + int x_start = 1; + int x_step = 1; + int y_start = 1; + int y_step = 1; + int x_stop, y_stop; + mxArray *arg; + double *mxMat; + char edges[15] = "reflect1"; + + if (nrhs<2) mexErrMsgTxt("requres at least 2 args."); + + /* ARG 1: IMAGE */ + arg = prhs[0]; + if notDblMtx(arg) mexErrMsgTxt("IMAGE arg must be a non-sparse double float matrix."); + image = mxGetPr(arg); + x_idim = (int) mxGetM(arg); /* X is inner index! */ + y_idim = (int) mxGetN(arg); + + /* ARG 2: FILTER */ + arg = prhs[1]; + if notDblMtx(arg) mexErrMsgTxt("FILTER arg must be non-sparse double float matrix."); filt = mxGetPr(arg); + x_fdim = (int) mxGetM(arg); + y_fdim = (int) mxGetN(arg); + + /* ARG 3 (optional): EDGES */ + if (nrhs>2) + { + if (!mxIsChar(prhs[2])) + mexErrMsgTxt("EDGES arg must be a string."); + mxGetString(prhs[2],edges,15); + } + + /* ARG 4 (optional): STEP */ + if (nrhs>3) + { + arg = prhs[3]; + if notDblMtx(arg) mexErrMsgTxt("STEP arg must be double float matrix."); + if (mxGetM(arg) * mxGetN(arg) != 2) + mexErrMsgTxt("STEP arg must contain two elements."); + mxMat = mxGetPr(arg); + x_step = (int) mxMat[0]; + y_step = (int) mxMat[1]; + if ((x_step<1) || (y_step<1)) + mexErrMsgTxt("STEP values must be greater than zero."); + } + + /* ARG 5 (optional): START */ + if (nrhs>4) + { + arg = prhs[4]; + if notDblMtx(arg) mexErrMsgTxt("START arg must be double float matrix."); + if (mxGetM(arg) * mxGetN(arg) != 2) + mexErrMsgTxt("START arg must contain two elements."); + mxMat = mxGetPr(arg); + x_start = (int) mxMat[0]; + y_start = (int) mxMat[1]; + if ((x_start<1) || (y_start<1)) + mexErrMsgTxt("START values must be greater than zero."); + } + x_start--; /* convert to standard C indexes */ + y_start--; + + /* ARG 6 (optional): STOP */ + if (nrhs>5) + { + if notDblMtx(prhs[5]) mexErrMsgTxt("STOP arg must be double float matrix."); + if (mxGetM(prhs[5]) * mxGetN(prhs[5]) != 2) + mexErrMsgTxt("STOP arg must contain two elements."); + mxMat = mxGetPr(prhs[5]); + x_stop = (int) mxMat[0]; + y_stop = (int) mxMat[1]; + if ((x_stop<x_start) || (y_stop<y_start)) + mexErrMsgTxt("STOP values must be greater than START values."); + } + else + { /* default: make res dims a multiple of STEP size */ + x_stop = x_step * ((x_start/x_step) + x_idim); + y_stop = y_step * ((y_start/y_step) + y_idim); + } + + /* ARG 6 (optional): RESULT image */ + if (nrhs>6) + { + arg = prhs[6]; + if notDblMtx(arg) mexErrMsgTxt("RES arg must be double float matrix."); + + /* 7/10/97: Returning one of the args causes problems with Matlab's memory + manager, so we don't return anything if the result image is passed */ + /* plhs[0] = arg; */ + result = mxGetPr(arg); + x_rdim = (int) mxGetM(arg); /* X is inner index! */ + y_rdim = (int) mxGetN(arg); + if ((x_stop>x_rdim) || (y_stop>y_rdim)) + mexErrMsgTxt("STOP values must within image dimensions."); + } + else + { + x_rdim = x_stop; + y_rdim = y_stop; + /* x_rdim = x_step * ((x_stop+x_step-1)/x_step); + y_rdim = y_step * ((y_stop+y_step-1)/y_step); */ + + plhs[0] = (mxArray *) mxCreateDoubleMatrix(x_rdim,y_rdim,mxREAL); + if (plhs[0] == NULL) mexErrMsgTxt("Cannot allocate result matrix"); + result = mxGetPr(plhs[0]); + } + + if ( (((x_stop-x_start+x_step-1) / x_step) != x_idim) || + (((y_stop-y_start+y_step-1) / y_step) != y_idim) ) + { + mexPrintf("Im dims: [%d %d]\n",x_idim,y_idim); + mexPrintf("Start: [%d %d]\n",x_start,y_start); + mexPrintf("Step: [%d %d]\n",x_step,y_step); + mexPrintf("Stop: [%d %d]\n",x_stop,y_stop); + mexPrintf("Res dims: [%d %d]\n",x_rdim,y_rdim); + mexErrMsgTxt("Image sizes and upsampling args are incompatible!"); + } + + /* upConv has a bug for even-length kernels when using the + reflect1, extend, or repeat edge-handlers */ + if ((!strcmp(edges,"reflect1") || !strcmp(edges,"extend") || !strcmp(edges,"repeat")) + && + ((x_fdim%2 == 0) || (y_fdim%2 == 0))) + { + orig_filt = filt; + orig_x = x_fdim; + orig_y = y_fdim; + x_fdim = 2*(orig_x/2)+1; + y_fdim = 2*(orig_y/2)+1; + filt = mxCalloc(x_fdim*y_fdim, sizeof(double)); + if (filt == NULL) + mexErrMsgTxt("Cannot allocate necessary temporary space"); + for (y=0; y<orig_y; y++) + for (x=0; x<orig_x; x++) + filt[y*x_fdim + x] = orig_filt[y*orig_x + x]; + } + + if ((x_fdim > x_rdim) || (y_fdim > y_rdim)) + { + mexPrintf("Filter: [%d %d], ",x_fdim,y_fdim); + mexPrintf("Result: [%d %d]\n",x_rdim,y_rdim); + mexErrMsgTxt("FILTER dimensions larger than RESULT dimensions."); + } + + temp = mxCalloc(x_fdim*y_fdim, sizeof(double)); + if (temp == NULL) + mexErrMsgTxt("Cannot allocate necessary temporary space"); + + /* + printf("(%d, %d), (%d, %d), (%d, %d), (%d, %d), (%d, %d), %s\n", + x_idim,y_idim,x_fdim,y_fdim,x_rdim,y_rdim, + x_start,x_step,y_start,y_step,edges); + */ + + if (strcmp(edges,"circular") == 0) + internal_wrap_expand(image, filt, x_fdim, y_fdim, + x_start, x_step, x_stop, y_start, y_step, 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zb)C;9j|5A27q2^hFMr(vI(^9Rd0pqTHJjnHZFyaDQ-9r>w;`9_&(B6K_n&<f=-jS* p$B**Q&IHZT;&mJL`p+)FKmK$vKT9xD{ZFv&V*IZ@qi;`<{|7sJ-eCX$ literal 0 HcmV?d00001 diff --git "a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/upConv.\302\265.exp" "b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/upConv.\302\265.exp" new file mode 100644 index 0000000..b95a258 --- /dev/null +++ "b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/upConv.\302\265.exp" @@ -0,0 +1 @@ +mexFunction \ No newline at end of file diff --git "a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/upConv.\302\265.rsrc" "b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/upConv.\302\265.rsrc" new file mode 100644 index 0000000..e69de29 diff --git "a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/upConv.\317\200.4" "b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/upConv.\317\200.4" new file mode 100644 index 0000000..e69de29 diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/wrap.c b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/wrap.c new file mode 100644 index 0000000..a081123 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/wrap.c @@ -0,0 +1,281 @@ +/* +;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;;; File: wrap.c +;;; Author: Eero Simoncelli +;;; Description: Circular convolution on 2D images. +;;; Creation Date: Spring, 1987. +;;; MODIFICATIONS: +;;; 6/96: Switched array types to double float. +;;; 2/97: made more robust and readable. Added STOP arguments. +;;; ---------------------------------------------------------------- +;;; Object-Based Vision and Image Understanding System (OBVIUS), +;;; Copyright 1988, Vision Science Group, Media Laboratory, +;;; Massachusetts Institute of Technology. +;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +*/ + +#include <stdlib.h> + +#include "convolve.h" + +/* + -------------------------------------------------------------------- + Performs correlation (i.e., convolution with filt(-x,-y)) of FILT + with IMAGE followed by subsampling (a.k.a. REDUCE in Burt&Adelson81). + The operations are combined to avoid unnecessary computation of the + convolution samples that are to be discarded in the subsampling + operation. The convolution is done in 9 sections so that mod + operations are not performed unnecessarily. The subsampling lattice + is specified by the START, STEP and STOP parameters. + -------------------------------------------------------------------- */ + +/* abstract out the inner product computation */ +#define INPROD(YSTART,YIND,XSTART,XIND) \ + { \ + sum=0.0; \ + for (y_im=YSTART, filt_pos=0, x_filt_stop=x_fdim; \ + x_filt_stop<=filt_size; \ + y_im++, x_filt_stop+=x_fdim) \ + for (x_im=XSTART ; \ + filt_pos<x_filt_stop; \ + filt_pos++, x_im++) \ + sum += imval[YIND][XIND] * filt[filt_pos]; \ + result[res_pos] = sum; \ + } + +int internal_wrap_reduce(image, x_dim, y_dim, filt, x_fdim, y_fdim, + x_start, x_step, x_stop, y_start, y_step, y_stop, + result) + register image_type *filt, *result; + register int x_dim, y_dim, x_fdim, y_fdim; + image_type *image; + int x_start, x_step, x_stop, y_start, y_step, y_stop; + { + register double sum; + register int filt_size = x_fdim*y_fdim; + image_type **imval; + register int filt_pos, x_im, y_im, x_filt_stop; + register int x_pos, y_pos, res_pos; + int x_ctr_stop = x_dim - x_fdim + 1; + int y_ctr_stop = y_dim - y_fdim + 1; + int x_ctr_start = 0; + int y_ctr_start = 0; + int x_fmid = x_fdim/2; + int y_fmid = y_fdim/2; + + /* shift start/stop coords to filter upper left hand corner */ + x_start -= x_fmid; y_start -= y_fmid; + x_stop -= x_fmid; y_stop -= y_fmid; + + if (x_stop < x_ctr_stop) x_ctr_stop = x_stop; + if (y_stop < y_ctr_stop) y_ctr_stop = y_stop; + + /* Set up pointer array for rows */ + imval = (image_type **) malloc(y_dim*sizeof(image_type *)); + if (imval IS NULL) + { + printf("INTERNAL_WRAP: Failed to allocate temp array!"); + return(-1); + } + for (y_pos=y_im=0;y_pos<y_dim;y_pos++,y_im+=x_dim) + imval[y_pos] = (image+y_im); + + for (res_pos=0, y_pos=y_start; /* TOP ROWS */ + y_pos<y_ctr_start; + y_pos+=y_step) + { + for (x_pos=x_start; + x_pos<x_ctr_start; + x_pos+=x_step, res_pos++) + INPROD(y_pos+y_dim, y_im%y_dim, x_pos+x_dim, x_im%x_dim) + + for (; + x_pos<x_ctr_stop; + x_pos+=x_step, res_pos++) + INPROD(y_pos+y_dim, y_im%y_dim, x_pos, x_im) + + for (; + x_pos<x_stop; + x_pos+=x_step, res_pos++) + INPROD(y_pos+y_dim, y_im%y_dim, x_pos, x_im%x_dim) + } /* end TOP ROWS */ + + for (; /* MID ROWS */ + y_pos<y_ctr_stop; + y_pos+=y_step) + { + for (x_pos=x_start; + x_pos<x_ctr_start; + x_pos+=x_step, res_pos++) + INPROD(y_pos, y_im, x_pos+x_dim, x_im%x_dim) + + for (; /* CENTER SECTION */ + x_pos<x_ctr_stop; + x_pos+=x_step, res_pos++) + INPROD(y_pos, y_im, x_pos, x_im) + + for (; + x_pos<x_stop; + x_pos+=x_step, res_pos++) + INPROD(y_pos, y_im, x_pos, x_im%x_dim) + } /* end MID ROWS */ + + for (; /* BOTTOM ROWS */ + y_pos<y_stop; + y_pos+=y_step) + { + for (x_pos=x_start; + x_pos<x_ctr_start; + x_pos+=x_step, res_pos++) + INPROD(y_pos, y_im%y_dim, x_pos+x_dim, x_im%x_dim) + + for (; + x_pos<x_ctr_stop; + x_pos+=x_step, res_pos++) + INPROD(y_pos, y_im%y_dim, x_pos, x_im) + + for (; + x_pos<x_stop; + x_pos+=x_step, res_pos++) + INPROD(y_pos, y_im%y_dim, x_pos, x_im%x_dim) + } /* end BOTTOM ROWS */ + + free ((image_type **) imval); + + return(0); + } /* end of internal_wrap_reduce */ + + + +/* + -------------------------------------------------------------------- + Performs upsampling (padding with zeros) followed by convolution of + FILT with IMAGE (a.k.a. EXPAND in Burt&Adelson81). The operations + are combined to avoid unnecessary multiplication of filter samples + with zeros in the upsampled image. The convolution is done in 9 + sections so that mod operation is not performed unnecessarily. + Arguments are described in the comment above internal_wrap_reduce. + + WARNING: this subroutine destructively modifes the RESULT image, so + the user must zero the result before invocation! + -------------------------------------------------------------------- */ + +/* abstract out the inner product computation */ +#define INPROD2(YSTART,YIND,XSTART,XIND) \ + { \ + val = image[im_pos]; \ + for (y_res=YSTART, filt_pos=0, x_filt_stop=x_fdim; \ + x_filt_stop<=filt_size; \ + y_res++, x_filt_stop+=x_fdim) \ + for (x_res=XSTART; \ + filt_pos<x_filt_stop; \ + filt_pos++, x_res++) \ + imval[YIND][XIND] += val * filt[filt_pos]; \ + } + +int internal_wrap_expand(image, filt, x_fdim, y_fdim, + x_start, x_step, x_stop, y_start, y_step, y_stop, + result, x_dim, y_dim) + register image_type *filt, *result; + register int x_fdim, y_fdim, x_dim, y_dim; + image_type *image; + int x_start, x_step, x_stop, y_start, y_step, y_stop; + { + register double val; + register int filt_size = x_fdim*y_fdim; + image_type **imval; + register int filt_pos, x_res, y_res, x_filt_stop; + register int x_pos, y_pos, im_pos; + int x_ctr_stop = x_dim - x_fdim + 1; + int y_ctr_stop = y_dim - y_fdim + 1; + int x_ctr_start = 0; + int y_ctr_start = 0; + int x_fmid = x_fdim/2; + int y_fmid = y_fdim/2; + + /* shift start/stop coords to filter upper left hand corner */ + x_start -= x_fmid; y_start -= y_fmid; + x_stop -= x_fmid; y_stop -= y_fmid; + + if (x_stop < x_ctr_stop) x_ctr_stop = x_stop; + if (y_stop < y_ctr_stop) y_ctr_stop = y_stop; + + /* Set up pointer array for rows */ + imval = (image_type **) malloc(y_dim*sizeof(image_type *)); + if (imval IS NULL) + { + printf("INTERNAL_WRAP: Failed to allocate temp array!"); + return(-1); + } + for (y_pos=y_res=0;y_pos<y_dim;y_pos++,y_res+=x_dim) + imval[y_pos] = (result+y_res); + + for (im_pos=0, y_pos=y_start; /* TOP ROWS */ + y_pos<y_ctr_start; + y_pos+=y_step) + { + for (x_pos=x_start; + x_pos<x_ctr_start; + x_pos+=x_step, im_pos++) + INPROD2(y_pos+y_dim, y_res%y_dim, x_pos+x_dim, x_res%x_dim) + + for (; + x_pos<x_ctr_stop; + x_pos+=x_step, im_pos++) + INPROD2(y_pos+y_dim, y_res%y_dim, x_pos, x_res) + + for (; + x_pos<x_stop; + x_pos+=x_step, im_pos++) + INPROD2(y_pos+y_dim, y_res%y_dim, x_pos, x_res%x_dim) + } /* end TOP ROWS */ + + for (; /* MID ROWS */ + y_pos<y_ctr_stop; + y_pos+=y_step) + { + for (x_pos=x_start; + x_pos<x_ctr_start; + x_pos+=x_step, im_pos++) + INPROD2(y_pos, y_res, x_pos+x_dim, x_res%x_dim) + + for (; /* CENTER SECTION */ + x_pos<x_ctr_stop; + x_pos+=x_step, im_pos++) + INPROD2(y_pos, y_res, x_pos, x_res) + + for (; + x_pos<x_stop; + x_pos+=x_step, im_pos++) + INPROD2(y_pos, y_res, x_pos, x_res%x_dim) + } /* end MID ROWS */ + + for (; /* BOTTOM ROWS */ + y_pos<y_stop; + y_pos+=y_step) + { + for (x_pos=x_start; + x_pos<x_ctr_start; + x_pos+=x_step, im_pos++) + INPROD2(y_pos, y_res%y_dim, x_pos+x_dim, x_res%x_dim) + + for (; + x_pos<x_ctr_stop; + x_pos+=x_step, im_pos++) + INPROD2(y_pos, y_res%y_dim, x_pos, x_res) + + for (; + x_pos<x_stop; + x_pos+=x_step, im_pos++) + INPROD2(y_pos, y_res%y_dim, x_pos, x_res%x_dim) + } /* end BOTTOM ROWS */ + + free ((image_type **) imval); + return(0); + } /* end of internal_wrap_expand */ + + + +/* Local Variables: */ +/* buffer-read-only: t */ +/* End: */ diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/wrap.o b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/MEX/wrap.o new file mode 100644 index 0000000000000000000000000000000000000000..504f19e53d64553655f3969be93bc885a061687c GIT binary patch literal 5476 zcmdT|Z)jWB6+il8OKw7?7IpK8KPV(4R@0hw{V>T%L28|1XP$YqQf-RMvmz;th~j9n z%AV5uEZI(pmv&%iU}Z~LIyTj=jWKKtw{##krPzxZ-jccQ(hq@*HK7~$!#;FniS|41 zJ=ss1?6n(Rmj}=1UY&dI`<-)t_nhN<`>&t=mWb}f%Z~-G4dQQFPwQJ=GTJr5JwRl2 z6R{+R@ist`EN2r+mRtHG%i%+P;YzO}U32<;vf}e;{QAuT*(*w{5gW>8l7r70zx?YO zJfGT#?kPcHjg4ocjWtdV4s8Odv&J>da$=2j$c=d$E1@CF>11pucjCy&lsuGu?ns?A zZeUmnYkZ=w;o<4`!WOKnJ$q$26_t%O(%B5w><EQJhE@}9_RdaBi$em3X95!Yp!t<0 zKa8&#x)Nj~(S5vrKi(a9CA{W`$MU=BP_tHRdnO^UPW2<4*5a=h%JUNza-Q2=PCxn+ zYRKQP7RBEWDB{O^lwPmv_UHmFimzEcYHm#uba%Rank>WKPHDI_Cq<fExAPx_R@K(S zp0U?xS<LTOMlEzjd}WeU-`#1|S(1d<rHJ<*R@5h-R020Jx2YhFEYM1R>V`BrLTkYS zIfwu73q`mU(%P;urPt<e?<CiE#i?Dn;3zd8%oF)zuJiaU;2$WLJIT@c0K5|%q1OD^ zbtT_*S?L{U_UBtJD&IO^E>9$h0zR^fnAH;;EwAU_{x}!#Vtm2=%JA1;%nkQvJor{A z-+D<oSSAwAb@G4YS`G{l9hf4^(itMP{~eE-v=t+Jn*HhvKk|e|s34lGMK$q9kDws= z&yqzf{)X4-Q}4gH8m4Byxb~KZ$3QQMCR<VUEv%|ONs9Q~?P}Lbo4Wt%>eB15<s)*c zz7L@5gRa>hIF7ZN!n3yuu~Uyy`9l?R#p1(?IJ-w-Y{8N8xcWjYr;h!6Hb3>T5-OBC zMZ+Zf>+R2JgA#rnIDt{a4?7GSByrcpRW)fXMv|~M`IblZ!B$^TQhmTe3#)=8DNL}V zo!ZoWhdoPEM2lb}{OkmN=dB+Mv;+HJ>R>+y><VLN%m)5$(J;sO-(~!d$XMsFYng3b zI*Yck4_oblnBK2^Nqb<}F;}spW4Qn2T&Qqsrjx7(P28H_ZeQ|euPZg&QnuihByM6) zg6{V4P3%h-`1L9LZ`vD;Q*W^U>T&AecAT21;gn=>YHqtdse?VW1*bX~x7r0Boual# zm(Dvr8=4(_KK4DW^XM*vN3dZV9$l!zqdtR2+n$3um^FXb;n5fE?^^zJgFlLBQ3xD* zSF{vxCaeP{9%(UZtMgIEt~)M9)v@7@icxj&YkN?KTmP#(QOhxoQQ%mCIX0Pp?6T5{ zknKl|Em-Ik|8ANPPFwL!)B!yO@@`oZyt!W)3(*y>3C1k6rq={3dQET%dHn)v0<T{R zm$)W)XjL>?J*Wki#eH+cb%S`XB;_wik{Cig@WVZd>Um5F{2B8|s|Oa53!KBhnyym^ zIFjOda~<FqNB)0EuLBxCtkeOpWhI}ys`P%_R0lL^am6m^>DoG=d-IH0;t?<A?7O6> zFWYB@1GNC@b%5IP4)QtjU*e~n|4(ai_t5Y0o1X&X$k}JK{NJy(8o3iSh<e;Fi4yW> zvXcLUQpAfmc>m>9^?7PrDkA^C$Fcf%Ms0xnf0*-s|Lm<9+bMPGnOWq~E8-@;dj@_Q zk131^HNa_+*p)N#r_@O_^BHlAa1pqWGc?S=Zr~1A;SM6VTtdy!#Ptho;P|Z7F9!Yt z)V7E?txk8(a<2Ku&SULj$9HBq_XF>r>foIKUWM^;j7H58HuB3n`<k(Ht;M!+ZN|Q5 ze{1!I?(YKEBjOF@`W;pN?ql4MFV@%No7g8AyJY0~W#oCci8~!z?LmJ0I()goo$MCe z>E`*7M)1SumsH}q3w~#=99?T$Le(B{{zqInXX45LxN^SYbIsp4`|NM_KjUPs8XQkC zSC|7DS8x&xu5^S+=MdwJI2kW+8k|vE*FG;dE^PW&<3@a=_At2dZ*b~7Wo`hY=`5l~ zHR06!3Y_fM|K6u2K5LxlGv)4eBX<W)+=zchpPy!bs~lIVZPDV2W)Gi(5^O+h`7+~5 z4X5vzxT0|!d^I@!{}xv&xp^@kyNcXQuWpr_yL!Thp6Cg6%e_y8q;~J)(PSzS_hwIe zqp8%%STvjPW)mmU-e@Kh&Fw}Gt2~_3`G0%$n6>!GasGeTRvdYe;_CNpMa1uTPr<I` z{W@bhj4>VCjM;09*~?=p-_)h+9IhoU;@V}N<uo~eN#vS)O;b8sXUK_r9qv2EF{Tyo z&-C$*PxSGQZ$N)dA5Wecay+2-UCUU)Gfj=zYJDT_W_Wx>-!N0H$3LJ|diz?n-o8?! z_txlJs`a*G)q2}Nwch$twcZLl&G;<F_h1d|nIX$!jeckKe2d+z#~k>N{Yq@7;a6UV z*iQ6a=XqVcklMI7?(q6`f4cpchdZUsKIVmu{$5Dd2O;~6@$feSl&O#L*dI;b0m*v! z#~s$kyVlXiw>SG3ztiXghie_UoJ0*0q}`BcR{GkVSmj=e@5Q+NRhI>S$;mcZ^fveD zDg3Ny(C#s{A2+ohtPCJIIhajk2BRtYdzolj&LrZ`#S*o@CX{q^Fi!DYDz4uK9!U<y faY-p3OQg~X-0Y=sWtlxn@(Jzuk$g0hNYFn4Va2r_ literal 0 HcmV?d00001 diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/README b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/README new file mode 100644 index 0000000..8f339f3 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/README @@ -0,0 +1,55 @@ +This package contains some MatLab tools for multi-scale image +processing. Briefly, the tools include: + - Recursive multi-scale image decompositions (pyramids), including + Laplacian pyramids, QMFs, Wavelets, and steerable pyramids. These + operate on 1D or 2D signals of arbitrary dimension. Data + structures are compatible with the MatLab wavelet toolbox. + - Fast 2D convolution routines, with subsampling and boundary-handling. + - Fast point-operations, histograms, histogram-matching. + - Fast synthetic image generation: sine gratings, zone plates, fractals, etc. + - Display routines for images and pyramids. These include several + auto-scaling options, rounding to integer zoom factors to avoid + resampling artifacts, and useful labeling (dimensions and gray-range). + +The package is available as a gnu-zipped UNIX "tar" file, +accessible from the web page: + http://www.cns.nyu.edu/~lcv/software.html + +The code works in Matlab versions 4.2 and higher, and has been fully tested +on Linux and Macintosh OSX platforms (it should, however, port easily to +others). To use the code (these lines are for UNIX): + 1) gunzip matlabPyrTools.tar.gz # unpack g'zipped file + 2) tar tvf matlabPyrTools.tar # view contents + 3) tar xvf matlabPyrTools.tar # extract contents + 4) rm matlabPyrTools.tar # delete tarfile + 5) Run matlab, and execute: + path(<pathname-of-matlabPyrTools>, path); + help matlabPyrTools + +A few functions are actually MEX interfaces to C code. These are +contained in the subdirectory called MEX. The MEX files have been +tested on Sun (Solaris), LinuX on a Pentium platform, and Macintosh +OSX on a PowerPC, but should not be difficult to compile on most other +platforms. Source code is included in the MEX directory, as well as +Make files. I've included pre-compiled versions for a number of +platforms (Solaris,Linux,Mac,Windows). To make sure these are in your +matlab path, you can do *one* of the following: + 1) Create a symbolic link (or macintosh "alias") for the relavent files + in the main matlabPyrTools directory, or + 2) Copy the relavent files into the main matlabPyrTools directory, or + 3) Put the MEX subdirectory in your matlab path. + +Some example script files showing usage of the code are in the +directory <dir>/TUTORIALS. There is a README file in that directory +describing the contents. + +Incremental changes to the code are documented in the ChangeLog file. + +Comments/Suggestions/Bugs to: + Eero P. Simoncelli + Associate Professor, + Center for Neural Science, and + Courant Institute for Mathematical Sciences + New York University + eero.simoncelli@nyu.edu + http://www.cns.nyu.edu/~eero/ diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/TUTORIALS/README b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/TUTORIALS/README new file mode 100644 index 0000000..06960a4 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/TUTORIALS/README @@ -0,0 +1,18 @@ + +This directory contains some Matlab script files that serve to give +example usage of this code, and also to explain some of the +representations and algorithms. + +The files are NOT meant to be executed from the MatLab prompt (like many +of the MatLab demos). You should instead read through the comments, +executing the subsequent pieces of code. This gives you a chance to +explore as you go... + +matlabPyrTools.m - Example usage of the code in the distribution. + +pyramids.m - An introduction to multi-scale pyramid representations, + covering Laplacian, QMF/Wavelet, and Steerable pyramids. The + file assumes a knowledge of linear systems, matrix algebra, + and 2D Fourier transforms. + +more to come.... diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/TUTORIALS/matlabPyrTools.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/TUTORIALS/matlabPyrTools.m new file mode 100644 index 0000000..44c27ce --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/TUTORIALS/matlabPyrTools.m @@ -0,0 +1,145 @@ +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% Some examples using the tools in this distribution. +%%% Eero Simoncelli, 2/97. +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +%% Add directory to path (YOU'LL NEED TO ADJUST THIS): +path('/lcv/matlab/lib/matlabPyrTools',path); + +%% Load an image, and downsample to a size appropriate for the machine speed. +oim = pgmRead('einstein.pgm'); +tic; corrDn(oim,[1 1; 1 1]/4,'reflect1',[2 2]); time = toc; +imSubSample = min(max(floor(log2(time)/2+3),0),2); +im = blurDn(oim, imSubSample,'qmf9'); +clear oim; + +%%% ShowIm: +%% 3 types of automatic graylevel scaling, 2 types of automatic +%% sizing, with or without title and Range information. +help showIm +clf; showIm(im,'auto1','auto','Al') +clf; showIm('im','auto2') +clf; showIm(im,'auto3',2) + +%%% Statistics: +mean2(im) +var2(im) +skew2(im) +kurt2(im) +entropy2(im) +imStats(im) + +%%% Synthetic images. First pick some parameters: +sz = 200; +dir = 2*pi*rand(1) +slope = 10*rand(1)-5 +int = 10*rand(1)-5; +orig = round(1+(sz-1)*rand(2,1)); +expt = 0.8+rand(1) +ampl = 1+5*rand(1) +ph = 2*pi*rand(1) +per = 20 +twidth = 7 + +clf; +showIm(mkRamp(sz,dir,slope,int,orig)); +showIm(mkImpulse(sz,orig,ampl)); +showIm(mkR(sz,expt,orig)); +showIm(mkAngle(sz,dir)); +showIm(mkDisc(sz,sz/4,orig,twidth)); +showIm(mkGaussian(sz,(sz/6)^2,orig,ampl)); +showIm(mkZonePlate(sz,ampl,ph)); +showIm(mkAngularSine(sz,3,ampl,ph,orig)); +showIm(mkSine(sz,per,dir,ampl,ph,orig)); +showIm(mkSquare(sz,per,dir,ampl,ph,orig,twidth)); +showIm(mkFract(sz,expt)); + + +%%% Point operations (lookup tables): +[Xtbl,Ytbl] = rcosFn(20, 25, [-1 1]); +plot(Xtbl,Ytbl); +showIm(pointOp(mkR(100,1,[70,30]), Ytbl, Xtbl(1), Xtbl(2)-Xtbl(1), 0)); + + +%%% histogram Modification/matching: +[N,X] = histo(im, 150); +[mn, mx] = range2(im); +matched = histoMatch(rand(size(im)), N, X); +showIm(im + sqrt(-1)*matched); +[Nm,Xm] = histo(matched,150); +nextFig(2,1); + subplot(1,2,1); plot(X,N); axis([mn mx 0 max(N)]); + subplot(1,2,2); plot(Xm,Nm); axis([mn mx 0 max(N)]); +nextFig(2,-1); + +%%% Convolution routines: + +%% Compare speed of convolution/downsampling routines: +noise = rand(400); filt = rand(10); +tic; res1 = corrDn(noise,filt(10:-1:1,10:-1:1),'reflect1',[2 2]); toc; +tic; ires = rconv2(noise,filt); res2 = ires(1:2:400,1:2:400); toc; +imStats(res1,res2) + +%% Display image and extension of left and top boundaries: +fsz = [9 9]; +fmid = ceil((fsz+1)/2); +imsz = [16 16]; + +% pick one: +im = eye(imsz); +im = mkRamp(imsz,pi/6); +im = mkSquare(imsz,6,pi/6); + +% pick one: +edges='reflect1'; +edges='reflect2'; +edges='repeat'; +edges='extend'; +edges='zero'; +edges='circular'; +edges='dont-compute'; + +filt = mkImpulse(fsz,[1 1]); +showIm(corrDn(im,filt,edges)); +line([0,0,imsz(2),imsz(2),0]+fmid(2)-0.5, ... + [0,imsz(1),imsz(1),0,0]+fmid(1)-0.5); +title(sprintf('Edges = %s',edges)); + +%%% Multi-scale pyramids (see pyramids.m for more examples, +%%% and explanations): + +%% A Laplacian pyramid: +[pyr,pind] = buildLpyr(im); +showLpyr(pyr,pind); + +res = reconLpyr(pyr, pind); % full reconstruction +imStats(im,res); % essentially perfect + +res = reconLpyr(pyr, pind, [2 3]); %reconstruct 2nd and 3rd levels only +showIm(res); + +%% Wavelet/QMF pyramids: +filt = 'qmf9'; edges = 'reflect1'; +filt = 'haar'; edges = 'qreflect2'; +filt = 'qmf12'; edges = 'qreflect2'; +filt = 'daub3'; edges = 'circular'; + +[pyr,pind] = buildWpyr(im, 5-imSubSample, filt, edges); +showWpyr(pyr,pind,'auto2'); + +res = reconWpyr(pyr, pind, filt, edges); +clf; showIm(im + i*res); +imStats(im,res); + +res = reconWpyr(pyr, pind, filt, edges, 'all', [2]); %vertical only +clf; showIm(res); + +%% Steerable pyramid: +[pyr,pind] = buildSpyr(im,4-imSubSample,'sp3Filters'); +showSpyr(pyr,pind); + +%% Steerable pyramid, constructed in frequency domain: +[pyr,pind] = buildSFpyr(im,5-imSubSample,4); %5 orientation bands +showSpyr(pyr,pind); +res = reconSFpyr(pyr,pind); +imStats(im,res); diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/TUTORIALS/pyramids.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/TUTORIALS/pyramids.m new file mode 100644 index 0000000..2123c69 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/TUTORIALS/pyramids.m @@ -0,0 +1,903 @@ +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% IMAGE PYRAMID TUTORIAL +%%% +%%% A brief introduction to multi-scale pyramid decompositions for image +%%% processing. You should go through this, reading the comments, and +%%% executing the corresponding MatLab instructions. This file assumes +%%% a basic familiarity with matrix algebra, with linear systems and Fourier +%%% theory, and with MatLab. If you don't understand a particular +%%% function call, execute "help <functionName>" to see documentation. +%%% +%%% EPS, 6/96. +%%% Based on the original OBVIUS tutorial. +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +%% Determine a subsampling factor for images, based on machine speed: +oim = pgmRead('einstein.pgm'); +tic; corrDn(oim,[1 1; 1 1]/4,'reflect1',[2 2]); time = toc; +imSubSample = min(max(floor(log2(time)/2+3),0),2); +im = blurDn(oim, imSubSample,'qmf9'); +clear oim; +clf; showIm(im, 'auto2', 'auto', 'im'); + +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +%%% LAPLACIAN PYRAMIDS: + +%% Images may be decomposed into information at different scales. +%% Blurring eliminates the fine scales (detail): + +binom5 = binomialFilter(5); +lo_filt = binom5*binom5'; +blurred = rconv2(im,lo_filt); +subplot(1,2,1); showIm(im, 'auto2', 'auto', 'im'); +subplot(1,2,2); showIm(blurred, 'auto2', 'auto', 'blurred'); + +%% Subtracting the blurred image from the original leaves ONLY the +%% fine scale detail: +fine0 = im - blurred; +subplot(1,2,1); showIm(fine0, 'auto2', 'auto', 'fine0'); + +%% The blurred and fine images contain all the information found in +%% the original image. Trivially, adding the blurred image to the +%% fine scale detail will reconstruct the original. We can compare +%% the original image to the sum of blurred and fine using the +%% "imStats" function, which reports on the statistics of the +%% difference between it's arguments: +imStats(im, blurred+fine0); + +%% Since the filter is a lowpass filter, we might want to subsample +%% the blurred image. This may cause some aliasing (depends on the +%% filter), but the decomposition structure given above will still be +%% possible. The corrDn function correlates (same as convolution, but +%% flipped filter) and downsamples in a single operation (for +%% efficiency). The string 'reflect1' tells the function to handle +%% boundaries by reflecting the image about the edge pixels. Notice +%% that the blurred1 image is half the size (in each dimension) of the +%% original image. +lo_filt = 2*binom5*binom5'; %construct a separable 2D filter +blurred1 = corrDn(im,lo_filt,'reflect1',[2 2]); +subplot(1,2,2); showIm(blurred1,'auto2','auto','blurred1'); + +%% Now, to extract fine scale detail, we must interpolate the image +%% back up to full size before subtracting it from the original. The +%% upConv function does upsampling (padding with zeros between +%% samples) followed by convolution. This can be done using the +%% lowpass filter that was applied before subsampling or it can be +%% done with a different filter. +fine1 = im - upConv(blurred1,lo_filt,'reflect1',[2 2],[1 1],size(im)); +subplot(1,2,1); showIm(fine1,'auto2','auto','fine1'); + +%% We now have a technique that takes an image, computes two new +%% images (blurred1 and fine1) containing the coarse scale information +%% and the fine scale information. We can also (trivially) +%% reconstruct the original from these two (even if the subsampling of +%% the blurred1 image caused aliasing): + +recon = fine1 + upConv(blurred1,lo_filt,'reflect1',[2 2],[1 1],size(im)); +imStats(im, recon); + +%% Thus, we have described an INVERTIBLE linear transform that maps an +%% input image to the two images blurred1 and fine1. The inverse +%% transformation maps blurred1 and fine1 to the result. This is +%% depicted graphically with a system diagram: +%% +%% IM --> blur/down2 ---------> BLURRED1 --> up2/blur --> add --> RECON +%% | | ^ +%% | | | +%% | V | +%% | up2/blur | +%% | | | +%% | | | +%% | V | +%% --------------> subtract --> FINE1 ------------------- +%% +%% Note that the number of samples in the representation (i.e., total +%% samples in BLURRED1 and FINE1) is 1.5 times the number of samples +%% in the original IM. Thus, this representation is OVERCOMPLETE. + +%% Often, we will want further subdivisions of scale. We can +%% decompose the (coarse-scale) BLURRED1 image into medium coarse and +%% very coarse images by applying the same splitting technique: +blurred2 = corrDn(blurred1,lo_filt,'reflect1',[2 2]); +showIm(blurred2) + +fine2 = blurred1 - upConv(blurred2,lo_filt,'reflect1',[2 2],[1 1],size(blurred1)); +showIm(fine2) + +%% Since blurred2 and fine2 can be used to reconstruct blurred1, and +%% blurred1 and fine1 can be used to reconstruct the original image, +%% the set of THREE images (also known as "subbands") {blurred2, +%% fine2, fine1} constitute a complete representation of the original +%% image. Note that the three subbands are displayed at the same size, +%% but they are actually three different sizes. + +subplot(1,3,1); showIm(fine1,'auto2',2^(imSubSample-1),'fine1'); +subplot(1,3,2); showIm(fine2,'auto2',2^(imSubSample),'fine2'); +subplot(1,3,3); showIm(blurred2,'auto2',2^(imSubSample+1),'blurred2'); + +%% It is useful to consider exactly what information is stored in each +%% of the pyramid subbands. The reconstruction process involves +%% recursively interpolating these images and then adding them to the +%% image at the next finer scale. To see the contribution of ONE of +%% the representation images (say blurred2) to the reconstruction, we +%% imagine filling all the other subbands with zeros and then +%% following our reconstruction procedure. For the blurred2 subband, +%% this is equivalent to simply calling upConv twice: +blurred2_full = upConv(upConv(blurred2,lo_filt,'reflect1',[2 2],[1 1],size(blurred1)),... + lo_filt,'reflect1',[2 2],[1 1],size(im)); +subplot(1,3,3); showIm(blurred2_full,'auto2',2^(imSubSample-1),'blurred2-full'); + +%% For the fine2 subband, this is equivalent to calling upConv once: +fine2_full = upConv(fine2,lo_filt,'reflect1',[2 2],[1 1],size(im)); +subplot(1,3,2); showIm(fine2_full,'auto2',2^(imSubSample-1),'fine2-full'); + +%% If we did everything correctly, we should be able to add together +%% these three full-size images to reconstruct the original image: +recon = blurred2_full + fine2_full + fine1; +imStats(im, recon) + +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +%%% FUNCTIONS for CONSTRUCTING/MANIPULATING LAPLACIAN PYRAMIDS + +%% We can continue this process, recursively splitting off finer and +%% finer details from the blurred image (like peeling off the outer +%% layers of an onion). The resulting data structure is known as a +%% "Laplacian Pyramid". To make things easier, we have written a +%% MatLab function called buildLpyr to construct this object. The +%% function returns two items: a long vector containing the subbands +%% of the pyramid, and an index matrix that is used to access these +%% subbands. The display routine showLpyr shows all the subbands of the +%% pyramid, at the their correct relative sizes. It should now be +%% clearer why these data structures are called "pyramids". +[pyr,pind] = buildLpyr(im,5-imSubSample); +showLpyr(pyr,pind); + +%% There are also "accessor" functions for pulling out a single subband: +showIm(pyrBand(pyr,pind,2)); + +%% The reconLpyr function allows you to reconstruct from a laplacian pyramid. +%% The third (optional) arg allows you to select any subset of pyramid bands +%% (default is to use ALL of them). +clf; showIm(reconLpyr(pyr,pind,[1 3]),'auto2','auto','bands 1 and 3 only'); + +fullres = reconLpyr(pyr,pind); +showIm(fullres,'auto2','auto','Full reconstruction'); +imStats(im,fullres); + +%% buildLpyr uses 5-tap filters by default for building Laplacian +%% pyramids. You can specify other filters: +namedFilter('binom3') +[pyr3,pind3] = buildLpyr(im,5-imSubSample,'binom3'); +showLpyr(pyr3,pind3); +fullres3 = reconLpyr(pyr3,pind3,'all','binom3'); +imStats(im,fullres3); + +%% Here we build a "Laplacian" pyramid using random filters. filt1 is +%% used with the downsampling operations and filt2 is used with the +%% upsampling operations. We normalize the filters for display +%% purposes. Of course, these filters are (almost certainly) not very +%% "Gaussian", and the subbands of such a pyramid will be garbage! +%% Nevertheless, it is a simple property of the Laplacian pyramid that +%% we can use ANY filters and we will still be able to reconstruct +%% perfectly. + +filt1 = rand(1,5); filt1 = sqrt(2)*filt1/sum(filt1) +filt2 = rand(1,3); filt2 = sqrt(2)*filt2/sum(filt2) +[pyrr,pindr] = buildLpyr(im,5-imSubSample,filt1,filt2); +showLpyr(pyrr,pindr); +fullresr = reconLpyr(pyrr,pindr,'all',filt2); +imStats(im,fullresr); + +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +%%% ALIASING in the Gaussian and Laplacian pyramids: + +%% Unless one is careful, the subsampling operations will introduce aliasing +%% artifacts in these pyramid transforms. This is true even though the +%% Laplacian pyramid can be used to reconstruct the original image perfectly. +%% When reconstructing, the pyramid is designed in such a way that these +%% aliasing artifacts cancel out. So it's not a problem if the only thing we +%% want to do is reconstruct. However, it can be a serious problem if we +%% intend to process each of the subbands independently. + +%% One way to see the consequences of the aliasing artifacts is by +%% examining variations that occur when the input is shifted. We +%% choose an image and shift it by some number of pixels. Then blur +%% (filter-downsample-upsample-filter) the original image and blur the +%% shifted image. If there's no aliasing, then the blur and shift +%% operations should commute (i.e., +%% shift-filter-downsample-upsample-filter is the same as +%% filter-downsample-upsample-filter-shift). Try this for 2 different +%% filters (by replacing 'binom3' with 'binom5' or 'binom7' below), +%% and you'll see that the aliasing is much worse for the 3 tap +%% filter. + +sig = 100*randn([1 16]); +sh = [0 7]; %shift amount +lev = 2; % level of pyramid to look at +flt = 'binom3'; %filter to use: + +shiftIm = shift(sig,sh); +[pyr,pind] = buildLpyr(shiftIm, lev, flt, flt, 'circular'); +shiftBlur = reconLpyr(pyr, pind, lev, flt, 'circular'); + +[pyr,pind] = buildLpyr(sig, lev, flt, flt, 'circular'); +res = reconLpyr(pyr, pind, lev, flt, 'circular'); +blurShift = shift(res,sh); + +subplot(2,1,1); r = showIm(shiftBlur,'auto2','auto','shiftBlur'); +subplot(2,1,2); showIm(blurShift,r,'auto','blurShift'); +imStats(blurShift,shiftBlur); + +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +%%% PROJECTION and BASIS functions: + +%% An invertible, linear transform can be characterized in terms +%% of a set of PROJECTION and BASIS functions. In matlab matrix +%% notation: +% +%% c = P' * x +%% x = B * c +% +%% where x is an input, c are the transform coefficients, P and B +%% are matrices. The columns of P are the projection functions (the +%% input is projected onto the the columns of P to get each successive +%% transform coefficient). The columns of B are the basis +%% functions (x is a linear combination of the columns of B). + +%% Since the Laplacian pyramid is a linear transform, we can ask: what +%% are its BASIS functions? We consider these in one dimension for +%% simplicity. The BASIS function corresponding to a given +%% coefficient tells us how much that coefficient contributes to each +%% pixel in the reconstructed image. We can construct a single basis +%% function by setting one sample of one subband equal to 1.0 (and all +%% others to zero) and reconstructing. To build the entire matrix, we +%% have to do this for every sample of every subband: +sz = min(round(48/(sqrt(2)^imSubSample)),36); +sig = zeros(sz,1); +[pyr,pind] = buildLpyr(sig); +basis = zeros(sz,size(pyr,1)); +for n=1:size(pyr,1) + pyr = zeros(size(pyr)); + pyr(n) = 1; + basis(:,n) = reconLpyr(pyr,pind); +end +clf; showIm(basis) + +%% The columns of the basis matrix are the basis functions. The +%% matrix is short and fat, corresponding to the fact that the +%% representation is OVERCOMPLETE. Below, we plot the middle one from +%% each subband, starting with the finest scale. Note that all of +%% these basis functions are lowpass (Gaussian-like) functions. +locations = round(sz * (2 - 3./2.^[1:max(4,size(pind,1))]))+1; +for lev=1:size(locations,2) + subplot(2,2,lev); + showIm(basis(:,locations(lev))); + axis([0 sz 0 1.1]); +end + +%% Now, we'd also like see the inverse (we'll them PROJECTION) +%% functions. We need to ask how much of each sample of the input +%% image contributes to a given pyramid coefficient. Thus, the matrix +%% is constructed by building pyramids on the set of images with +%% impulses at each possible location. The rows of this matrix are +%% the projection functions. +projection = zeros(size(pyr,1),sz); +for pos=1:sz + [pyr,pind] = buildLpyr(mkImpulse([1 sz], [1 pos])); + projection(:,pos) = pyr; +end +clf; showIm(projection); + +%% Building a pyramid corresponds to multiplication by the projection +%% matrix. Reconstructing from this pyramid corresponds to +%% multiplication by the basis matrix. Thus, the product of the two +%% matrices (in this order) should be the identity matrix: +showIm(basis*projection); + +%% We can plot a few example projection functions at different scales. +%% Note that all of the projection functions are bandpass functions, +%% except for the coarsest subband which is lowpass. +for lev=1:size(locations,2) + subplot(2,2,lev); + showIm(projection(locations(lev),:)); + axis([0 sz -0.3 0.8]); +end + +%% Now consider the frequency response of these functions, plotted over the +%% range [-pi,pi]: +for lev=1:size(locations,2) + subplot(2,2,lev); + proj = projection(locations(lev),:); + plot(pi*[-32:31]/32,fftshift(abs(fft(proj',64)))); + axis([-pi pi -0.1 3]); +end + +%% The first projection function is highpass, and the second is bandpass. Both +%% of these look something like the Laplacian (2nd derivative) of a Gaussian. +%% The last is lowpass, as are the basis functions. Thus, the basic operation +%% used to create each level of the pyramid involves a simple highpass/lowpass +%% split. + +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +%%% QMF/WAVELET PYRAMIDS. + +%% Two things about Laplacian pyramids are a bit unsatisfactory. +%% First, there are more pixels (coefficients) in the representation +%% than in the original image. Specifically, the 1-dimensional +%% transform is overcomplete by a factor of 4/3, and the 2-dimensional +%% transform is overcomplete by a factor of 2. Secondly, the +%% "bandpass" images (fineN) do not segregate information according to +%% orientation. + +%% There are other varieties of pyramid. One type that arose in the +%% speech coding community is based on a particular pairs of filters +%% known as a "Quadrature Mirror Filters" or QMFs. These are closely +%% related to Wavelets (essentially, they are approximate wavelet +%% filters). + +%% Recall that the Laplacian pyramid is formed by simple hi/low +%% splitting at each level. The lowpass band is subsampled by a +%% factor of 2, but the highpass band is NOT subsampled. In the QMF +%% pyramid, we apply two filters (hi- and lo- pass) and subsample BOTH +%% by a factor of 2, thus eliminating the excess coefficients of the +%% Laplacian pyramid. + +%% The two filters must have a specific relationship to each +%% other. In particular, let n be an index for the filter samples. +%% The highpass filter may be constructed from the lowpass filter by +%% (1) modulating (multiplying) by (-1)^n (equivalent to shifting by +%% pi in the Fourier domain), (2) flipping (i.e., reversing the order +%% of the taps), (3) spatially shifting by one sample. Try to +%% convince yourself that the resulting filters will always be +%% orthogonal to each other (i.e., their inner products will be zero) +%% when shifted by any multiple of two. + +%% The function modulateFlip performs the first two of these operations. The +%% third (spatial shifting) step is built into the convolution code. +flo = namedFilter('qmf9')'; +fhi = modulateFlip(flo)'; +subplot(2,1,1); lplot(flo); axis([0 10 -0.5 1.0]); title('lowpass'); +subplot(2,1,2); lplot(fhi); axis([0 10 -0.5 1.0]); title('highpass'); + +%% In the Fourier domain, these filters are (approximately) +%% "power-complementary": the sum of their squared power spectra is +%% (approximately) a constant. But note that neither is a perfect +%% bandlimiter (i.e., a sinc function), and thus subsampling by a +%% factor of 2 will cause aliasing in each of the subbands. See below +%% for a discussion of the effect of this aliasing. + +%% Plot the two frequency responses: +freq = pi*[-32:31]/32; +subplot(2,1,1); +plot(freq,fftshift(abs(fft(flo,64))),'--',freq,fftshift(abs(fft(fhi,64))),'-'); +axis([-pi pi 0 1.5]); title('FFT magnitudes'); +subplot(2,1,2); +plot(freq,fftshift(abs(fft(flo,64)).^2)+fftshift(abs(fft(fhi,64)).^2)); +axis([-pi pi 0 2.2]); title('Sum of squared magnitudes'); + +%% We can split an input signal into two bands as follows: +sig = mkFract([1,64],1.6); +subplot(2,1,1); showIm(sig,'auto1','auto','sig'); +lo1 = corrDn(sig,flo,'reflect1',[1 2],[1 1]); +hi1 = corrDn(sig,fhi,'reflect1',[1 2],[1 2]); +subplot(2,1,2); +showIm(lo1,'auto1','auto','low and high bands'); hold on; plot(hi1,'--r'); hold off; + +%% Notice that the two subbands are half the size of the original +%% image, due to the subsampling by a factor of 2. One subtle point: +%% the highpass and lowpass bands are subsampled on different +%% lattices: the lowpass band retains the odd-numbered samples and the +%% highpass band retains the even-numbered samples. This was the +%% 1-sample shift relating the high and lowpass kernels (mentioned +%% above). We've used the 'reflect1' to handle boundaries, which +%% works properly for symmetric odd-length QMFs. + +%% We can reconstruct the original image by interpolating these two subbands +%% USING THE SAME FILTERS: +reconlo = upConv(lo1,flo,'reflect1',[1 2]); +reconhi = upConv(hi1,fhi,'reflect1',[1 2],[1 2]); +subplot(2,1,2); showIm(reconlo+reconhi,'auto1','auto','reconstructed'); +imStats(sig,reconlo+reconhi); + +%% We have described an INVERTIBLE linear transform that maps an input +%% image to the two images lo1 and hi1. The inverse transformation +%% maps these two images to the result. This is depicted graphically +%% with a system diagram: +%% +%% IM ---> flo/down2 --> LO1 --> up2/flo --> add --> RECON +%% | ^ +%% | | +%% | | +%% -> fhi/down2 --> HI1 --> up2/fhi ----- +%% +%% Note that the number of samples in the representation (i.e., total +%% samples in LO1 and HI1) is equal to the number of samples in the +%% original IM. Thus, this representation is exactly COMPLETE, or +%% "critically sampled". + +%% So we've fixed one of the problems that we had with Laplacian +%% pyramid. But the system diagram above places strong constraints on +%% the filters. In particular, for these filters the reconstruction +%% is no longer perfect. Turns out there are NO +%% perfect-reconstruction symmetric filters that are +%% power-complementary, except for the trivial case [1] and the +%% nearly-trivial case [1 1]/sqrt(2). + +%% Let's consider the projection functions of this 2-band splitting +%% operation. We can construct these by applying the transform to +%% impulse input signals, for all possible impulse locations. The +%% rows of the following matrix are the projection functions for each +%% coefficient in the transform. +M = [corrDn(eye(32),flo','circular',[1 2]), ... + corrDn(eye(32),fhi','circular',[1 2],[1 2])]'; +clf; showIm(M,'auto1','auto','M'); + +%% The transform matrix is composed of two sub-matrices. The top half +%% contains the lowpass kernel, shifted by increments of 2 samples. +%% The bottom half contains the highpass. Now we compute the inverse +%% of this matrix: +M_inv = inv(M); +showIm(M_inv,'auto1','auto','M_inv'); + +%% The inverse is (very close to) the transpose of the original +%% matrix! In other words, the transform is orthonormal. +imStats(M_inv',M); + +%% This also points out a nice relationship between the corrDn and +%% upConv functions, and the matrix representation. corrDn is +%% equivalent to multiplication by a matrix with copies of the filter +%% on the ROWS, translated in multiples of the downsampling factor. +%% upConv is equivalent to multiplication by a matrix with copies of +%% the filter on the COLUMNS, translated by the upsampling factor. + +%% As in the Laplacian pyramid, we can recursively apply this QMF +%% band-splitting operation to the lowpass band: +lo2 = corrDn(lo1,flo,'reflect1',[1 2]); +hi2 = corrDn(lo1,fhi,'reflect1',[1 2],[1 2]); + +%% The representation of the original signal is now comprised of the +%% three subbands {hi1, hi2, lo2} (we don't hold onto lo1, because it +%% can be reconstructed from lo2 and hi2). Note that hi1 is at 1/2 +%% resolution, and hi2 and lo2 are at 1/4 resolution: The total number +%% of samples in these three subbands is thus equal to the number of +%% samples in the original signal. +imnames=['hi1'; 'hi2'; 'lo2']; +for bnum=1:3 + band = eval(imnames(bnum,:)); + subplot(3,1,bnum); showIm(band); ylabel(imnames(bnum,:)); + axis([1 size(band,2) 1.1*min(lo2) 1.1*max(lo2)]); +end + +%% Reconstruction proceeds as with the Laplacian pyramid: combine lo2 and hi2 +%% to reconstruct lo1, which is then combined with hi1 to reconstruct the +%% original signal: +recon_lo1 = upConv(hi2,fhi,'reflect1',[1 2],[1 2]) + ... + upConv(lo2,flo,'reflect1',[1 2],[1 1]); +reconstructed = upConv(hi1,fhi,'reflect1',[1 2],[1 2]) + ... + upConv(recon_lo1,flo,'reflect1',[1 2],[1 1]); +imStats(sig,reconstructed); + +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +%%% FUNCTIONS for CONSTRUCTING/MANIPULATING QMF/Wavelet PYRAMIDS + +%% To make things easier, we have bundled these qmf operations and +%% data structures into an object in MATLAB. + +sig = mkFract([1 64], 1.5); +[pyr,pind] = buildWpyr(sig); +showWpyr(pyr,pind); + +nbands = size(pind,1); +for b = 1:nbands + subplot(nbands,1,b); lplot(pyrBand(pyr,pind,b)); +end + +res = reconWpyr(pyr,pind); +imStats(sig,res); + +%% Now for 2D, we use separable filters. There are 4 ways to apply the two +%% filters to the input image (followed by the relavent subsampling operation): +%% (1) lowpass in both x and y +%% (2) lowpass in x and highpass in y +%% (3) lowpass in y and highpass in x +%% (4) highpass in both x and y. +%% The pyramid is built by recursively subdividing the first of these bands +%% into four new subbands. + +%% First, we'll take a look at some of the basis functions. +sz = 40; +zim = zeros(sz); +flo = 'qmf9'; edges = 'reflect1'; +[pyr,pind] = buildWpyr(zim); + +% Put an impulse into the middle of each band: +for lev=1:size(pind,1) + mid = sum(prod(pind(1:lev-1,:)')); + mid = mid + floor(pind(lev,2)/2)*pind(lev,1) + floor(pind(lev,1)/2) + 1; + pyr(mid,1) = 1; +end + +% And take a look at the reconstruction of each band: +for lnum=1:wpyrHt(pind)+1 + for bnum=1:3 + subplot(wpyrHt(pind)+1,3,(wpyrHt(pind)+1-lnum)*3+bnum); + showIm(reconWpyr(pyr, pind, flo, edges, lnum, bnum),'auto1',2,0); + end +end + +%% Note that the first column contains horizontally oriented basis functions at +%% different scales. The second contains vertically oriented basis functions. +%% The third contains both diagonals (a checkerboard pattern). The bottom row +%% shows (3 identical images of) a lowpass basis function. + +%% Now look at the corresponding Fourier transform magnitudes (these +%% are plotted over the frequency range [-pi, pi] ): +nextFig(2,1); +freq = 2 * pi * [-sz/2:(sz/2-1)]/sz; +for lnum=1:wpyrHt(pind)+1 + for bnum=1:3 + subplot(wpyrHt(pind)+1,3,(wpyrHt(pind)+1-lnum)*3+bnum); + basisFn = reconWpyr(pyr, pind, flo, edges, lnum, bnum); + basisFmag = fftshift(abs(fft2(basisFn,sz,sz))); + imagesc(freq,freq,basisFmag); + axis('square'); axis('xy'); colormap('gray'); + end +end +nextFig(2,-1); + +%% The filters at a given scale sum to a squarish annular region: +sumSpectra = zeros(sz); +lnum = 2; +for bnum=1:3 + basisFn = reconWpyr(pyr, pind, flo, edges, lnum, bnum); + basisFmag = fftshift(abs(fft2(basisFn,sz,sz))); + sumSpectra = basisFmag.^2 + sumSpectra; +end +clf; imagesc(freq,freq,sumSpectra); axis('square'); axis('xy'); title('one scale'); + +%% Now decompose an image: +[pyr,pind] = buildWpyr(im); + +%% View all of the subbands (except lowpass), scaled to be the same size +%% (requires a big figure window): +nlevs = wpyrHt(pind); +for lnum=1:nlevs + for bnum=1:3 + subplot(nlevs,3,(lnum-1)*3+bnum); + showIm(wpyrBand(pyr,pind,lnum,bnum), 'auto2', 2^(lnum+imSubSample-2)); + end +end + +%% In addition to the bands shown above, there's a lowpass residual: +nextFig(2,1); +clf; showIm(pyrLow(pyr,pind)); +nextFig(2,-1); + +% Alternatively, display the pyramid with the subbands shown at their +% correct relative sizes: +clf; showWpyr(pyr, pind); + +%% The reconWpyr function can be used to reconstruct the entire pyramid: +reconstructed = reconWpyr(pyr,pind); +imStats(im,reconstructed); + +%% As with Laplacian pyramids, you can specify sub-levels and subbands +%% to be included in the reconstruction. For example: +clf +showIm(reconWpyr(pyr,pind,'qmf9','reflect1',[1:wpyrHt(pind)],[1])); %Horizontal only +showIm(reconWpyr(pyr,pind,'qmf9','reflect1',[2,3])); %two middle scales + +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +%%% PERFECT RECONSTRUCTION: HAAR AND DEBAUCHIES WAVELETS + +%% The symmetric QMF filters used above are not perfectly orthogonal. +%% In fact, it's impossible to construct a symmetric filter of size +%% greater than 2 that is perfectly orthogonal to shifted copies +%% (shifted by multiples of 2) of itself. For example, consider a +%% symmetric kernel of length 3. Shift by two and the right end of +%% the original kernel is aligned with the left end of the shifted +%% one. Thus, the inner product of these two will be the square of +%% the end tap, which will be non-zero. + +%% However, one can easily create wavelet filters of length 2 that +%% will do the job. This is the oldest known wavelet, known as the +%% "Haar". The two kernels are [1,1]/sqrt(2) and [1,-1]/sqrt(2). +%% These are trivially seen to be orthogonal to each other, and shifts +%% by multiples of two are also trivially orthogonal. The projection +%% functions of the Haar transform are in the rows of the following +%% matrix, constructed by applying the transform to impulse input +%% signals, for all possible impulse locations: + +haarLo = namedFilter('haar') +haarHi = modulateFlip(haarLo) +subplot(2,1,1); lplot(haarLo); axis([0 3 -1 1]); title('lowpass'); +subplot(2,1,2); lplot(haarHi); axis([0 3 -1 1]); title('highpass'); + +M = [corrDn(eye(32), haarLo, 'reflect1', [2 1], [2 1]); ... + corrDn(eye(32), haarHi, 'reflect1', [2 1], [2 1])]; +clf; showIm(M) +showIm(M*M') %identity! + +%% As before, the filters are power-complementary (although the +%% frequency isolation is rather poor, and thus the subbands will be +%% heavily aliased): +plot(pi*[-32:31]/32,abs(fft(haarLo,64)).^2,'--',... + pi*[-32:31]/32,abs(fft(haarHi,64)).^2,'-'); + +sig = mkFract([1,64],0.5); +[pyr,pind] = buildWpyr(sig,4,'haar','reflect1'); +showWpyr(pyr,pind); + +%% check perfect reconstruction: +res = reconWpyr(pyr,pind, 'haar', 'reflect1'); +imStats(sig,res) + +%% If you want perfect reconstruction, but don't like the Haar +%% transform, there's another option: drop the symmetry requirement. +%% Ingrid Daubechies developed one of the earliest sets of such +%% perfect-reconstruction wavelets. The simplest of these is of +%% length 4: + +daub_lo = namedFilter('daub2'); +daub_hi = modulateFlip(daub_lo); + +%% The daub_lo filter is constructed to be orthogonal to 2shifted +%% copy of itself. For example: +[daub_lo;0;0]'*[0;0;daub_lo] + +M = [corrDn(eye(32), daub_lo, 'circular', [2 1], [2 1]); ... + corrDn(eye(32), daub_hi, 'circular', [2 1], [2 1])]; +clf; showIm(M) +showIm(M*M') % identity! + +%% Again, they're power complementary: +plot(pi*[-32:31]/32,abs(fft(daub_lo,64)).^2,'--',... + pi*[-32:31]/32,abs(fft(daub_hi,64)).^2,'-'); + +%% The sum of the power spectra is again flat +plot(pi*[-32:31]/32,... + fftshift(abs(fft(daub_lo,64)).^2)+fftshift(abs(fft(daub_hi,64)).^2)); + +%% Make a pyramid using the same code as before (except that we can't +%% use reflected boundaries with asymmetric filters): +[pyr,pind] = buildWpyr(sig, maxPyrHt(size(sig),size(daub_lo)), daub_lo, 'circular'); +showWpyr(pyr,pind,'indep1'); + +res = reconWpyr(pyr,pind, daub_lo,'circular'); +imStats(sig,res); + +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +%%% ALIASING IN WAVELET TRANSFORMS + +%% All of these orthonormal pyramid/wavelet transforms have a lot +%% of aliasing in the subbands. You can see that in the frequency +%% response plots since the frequency response of each filter +%% covers well more than half the frequency domain. The aliasing +%% can have serious consequences... + +%% Get one of the basis functions of the 2D Daubechies wavelet transform: +[pyr,pind] = buildWpyr(zeros(1,64),4,daub_lo,'circular'); +lev = 3; +pyr(1+sum(pind(1:lev-1,2))+pind(lev,2)/2,1) = 1; +sig = reconWpyr(pyr,pind, daub_lo,'circular'); +clf; lplot(sig) + +%% Since the basis functions are orthonormal, building a pyramid using this +%% input will yield a single non-zero coefficient. +[pyr,pind] = buildWpyr(sig, 4, daub_lo, 'circular'); +figure(1); +nbands = size(pind,1) +for b=1:nbands + subplot(nbands,1,b); lplot(pyrBand(pyr,pind,b)); + axis([1 size(pyrBand(pyr,pind,b),2) -0.3 1.3]); +end + +%% Now shift the input by one sample and re-build the pyramid. +shifted_sig = [0,sig(1:size(sig,2)-1)]; +[spyr,spind] = buildWpyr(shifted_sig, 4, daub_lo, 'circular'); + +%% Plot each band of the unshifted and shifted decomposition +nextFig(2); +nbands = size(spind,1) +for b=1:nbands + subplot(nbands,1,b); lplot(pyrBand(spyr,spind,b)); + axis([1 size(pyrBand(spyr,spind,b),2) -0.3 1.3]); +end +nextFig(2,-1); + +%% In the third band, we expected the coefficients to move around +%% because the signal was shifted. But notice that in the original +%% signal decomposition, the other bands were filled with zeros. +%% After the shift, they have significant content. Although these +%% subbands are supposed to represent information at different scales, +%% their content also depends on the relative POSITION of the input +%% signal. + +%% This problem is not unique to the Daubechies transform. The same +%% is true for the QMF transform. Try it... In fact, the same kind +%% of problem occurs for almost any orthogonal pyramid transform (the +%% only exception is the limiting case in which the filter is a sinc +%% function). + +%% Orthogonal pyramid transforms are not shift-invariant. Although +%% orthogonality may be an important property for some applications +%% (e.g., data compression), orthogonal pyramid transforms are +%% generally not so good for image analysis. + +%% The overcompleteness of the Laplacian pyramid turns out to be a +%% good thing in the end. By using an overcomplete representation +%% (and by choosing the filters properly to avoid aliasing as much as +%% possible), you end up with a representation that is useful for +%% image analysis. + +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +%%% The "STEERABLE PYRAMID" + +%% The steerable pyramid is a multi-scale representation that is +%% translation-invariant, but that also includes representation of +%% orientation. Furthermore, the representation of orientation is +%% designed to be rotation-invariant. The basis/projection functions +%% are oriented (steerable) filters, localized in space and frequency. +%% It is overcomplete to avoid aliasing. And it is "self-inverting" +%% (like the QMF/Wavelet transform): the projection functions and +%% basis functions are identical. The mathematical phrase for a +%% transform obeying this property is "tight frame". + +%% The system diagram for the steerable pyramid (described in the +%% reference given below) is as follows: +% +% IM ---> fhi0 -----------------> H0 ---------------- fhi0 ---> RESULT +% | | +% | | +% |-> flo0 ---> fl1/down2 --> L1 --> up2/fl1 ---> flo0 -| +% | | +% |----> fb0 -----> B0 ----> fb0 ---| +% | | +% |----> fb1 -----> B1 ----> fb1 ---| +% . . +% . . +% |----> fbK -----> BK ----> fbK ---| +% +%% The filters {fhi0,flo0} are used to initially split the image into +%% a highpass residual band H0 and a lowpass subband. This lowpass +%% band is then split into a low(er)pass band L1 and K+1 oriented +%% subbands {B0,B1,...,BK}. The representatation is substantially +%% overcomplete. The pyramid is built by recursively splitting the +%% lowpass band (L1) using the inner portion of the diagram (i.e., +%% using the filters {fl1,fb0,fb1,...,fbK}). The resulting transform is +%% overcomplete by a factor of 4k/3. + +%% The scale tuning of the filters is constrained by the recursive +%% system diagram. The orientation tuning is constrained by requiring +%% the property of steerability. A set of filters form a steerable +%% basis if they 1) are rotated copies of each other, and 2) a copy of +%% the filter at any orientation may be computed as a linear +%% combination of the basis filters. The simplest examples of +%% steerable filters is a set of N+1 Nth-order directional +%% derivatives. + +%% Choose a filter set (options are 'sp0Filters', 'sp1Filters', +%% 'sp3Filters', 'sp5Filters'): +filts = 'sp3Filters'; +[lo0filt,hi0filt,lofilt,bfilts,steermtx,harmonics] = eval(filts); +fsz = round(sqrt(size(bfilts,1))); fsz = [fsz fsz]; +nfilts = size(bfilts,2); +nrows = floor(sqrt(nfilts)); + +%% Look at the oriented bandpass filters: +for f = 1:nfilts + subplot(nrows,ceil(nfilts/nrows),f); + showIm(conv2(reshape(bfilts(:,f),fsz),lo0filt)); +end + +%% Try "steering" to a new orientation (new_ori in degrees): +new_ori = 360*rand(1) +clf; showIm(conv2(reshape(steer(bfilts, new_ori*pi/180 ), fsz), lo0filt)); + +%% Look at Fourier transform magnitudes: +lo0 = fftshift(abs(fft2(lo0filt,64,64))); +fsum = zeros(size(lo0)); +for f = 1:size(bfilts,2) + subplot(nrows,ceil(nfilts/nrows),f); + flt = reshape(bfilts(:,f),fsz); + freq = lo0 .* fftshift(abs(fft2(flt,64,64))); + fsum = fsum + freq.^2; + showIm(freq); +end + +%% The filters sum to a smooth annular ring: +clf; showIm(fsum); + +%% build a Steerable pyramid: +[pyr,pind] = buildSpyr(im, 4-imSubSample, filts); + +%% Look at first (vertical) bands, different scales: +for s = 1:min(4,spyrHt(pind)) + band = spyrBand(pyr,pind,s,1); + subplot(2,2,s); showIm(band); +end + +%% look at all orientation bands at one level (scale): +for b = 1:spyrNumBands(pind) + band = spyrBand(pyr,pind,1,b); + subplot(nrows,ceil(nfilts/nrows),b); + showIm(band); +end + +%% To access the high-pass and low-pass bands: +low = pyrLow(pyr,pind); +showIm(low); +high = spyrHigh(pyr,pind); +showIm(high); + +%% Display the whole pyramid (except for the highpass residual band), +%% with images shown at proper relative sizes: +showSpyr(pyr,pind); + +%% Spin a level of the pyramid, interpolating (steering to) +%% intermediate orienations: + +[lev,lind] = spyrLev(pyr,pind,2); +lev2 = reshape(lev,prod(lind(1,:)),size(bfilts,2)); +figure(1); subplot(1,1,1); showIm(spyrBand(pyr,pind,2,1)); +M = moviein(16); +for frame = 1:16 + steered_im = steer(lev2, 2*pi*(frame-1)/16, harmonics, steermtx); + showIm(reshape(steered_im, lind(1,:)),'auto2'); + M(:,frame) = getframe; +end + +%% Show the movie 3 times: +movie(M,3); + +%% Reconstruct. Note that the filters are not perfect, although they are good +%% enough for most applications. +res = reconSpyr(pyr, pind, filts); +showIm(im + i * res); +imStats(im,res); + +%% As with previous pyramids, you can select subsets of the levels +%% and orientation bands to be included in the reconstruction. For example: + +%% All levels (including highpass and lowpass residuals), one orientation: +clf; showIm(reconSpyr(pyr,pind,filts,'reflect1','all', [1])); + +%% Without the highpass and lowpass: +clf; showIm(reconSpyr(pyr,pind,filts,'reflect1',[1:spyrHt(pind)], [1])); + +%% We also provide an implementation of the Steerable pyramid in the +%% Frequency domain. The advantages are perfect-reconstruction +%% (within floating-point error), and any number of orientation +%% bands. The disadvantages are that it is typically slower, and the +%% boundary handling is always circular. + +[pyr,pind] = buildSFpyr(im,4,4); % 4 levels, 5 orientation bands +showSpyr(pyr,pind); +res = reconSFpyr(pyr,pind); +imStats(im,res); % nearly perfect + +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +% The steerable pyramid transform given above is described in: +% +% E P Simoncelli and W T Freeman. +% The Steerable Pyramid: A Flexible Architecture for Multi-Scale +% Derivative Computation. IEEE Second Int'l Conf on Image Processing. +% Washington DC, October 1995. +% +% Online access: +% Abstract: http://www.cis.upenn.edu/~eero/ABSTRACTS/simoncelli95b-abstract.html +% Full (PostScript): ftp://ftp.cis.upenn.edu/pub/eero/simoncelli95b.ps.Z +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +%% Local Variables: +%% buffer-read-only: t +%% End: diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/binomialFilter.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/binomialFilter.m new file mode 100644 index 0000000..e5670c7 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/binomialFilter.m @@ -0,0 +1,18 @@ +% KERNEL = binomialFilter(size) +% +% Returns a vector of binomial coefficients of order (size-1) . + +% Eero Simoncelli, 2/97. + +function [kernel] = binomialFilter(sz) + +if (sz < 2) + error('size argument must be larger than 1'); +end + +kernel = [0.5 0.5]'; + +for n=1:sz-2 + kernel = conv([0.5 0.5]', kernel); +end + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/blur.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/blur.m new file mode 100644 index 0000000..f993d09 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/blur.m @@ -0,0 +1,28 @@ +% RES = blur(IM, LEVELS, FILT) +% +% Blur an image, by filtering and downsampling LEVELS times +% (default=1), followed by upsampling and filtering LEVELS times. The +% blurring is done with filter kernel specified by FILT (default = +% 'binom5'), which can be a string (to be passed to namedFilter), a +% vector (applied separably as a 1D convolution kernel in X and Y), or +% a matrix (applied as a 2D convolution kernel). The downsampling is +% always by 2 in each direction. + +% Eero Simoncelli, 3/04. + +function res = blur(im, nlevs, filt) + +%------------------------------------------------------------ +%% OPTIONAL ARGS: + +if (exist('nlevs') ~= 1) + nlevs = 1; +end + +if (exist('filt') ~= 1) + filt = 'binom5'; +end + +%------------------------------------------------------------ + +res = upBlur(blurDn(im,nlevs,filt)); \ No newline at end of file diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/blurDn.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/blurDn.m new file mode 100644 index 0000000..8120c04 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/blurDn.m @@ -0,0 +1,59 @@ +% RES = blurDn(IM, LEVELS, FILT) +% +% Blur and downsample an image. The blurring is done with filter +% kernel specified by FILT (default = 'binom5'), which can be a string +% (to be passed to namedFilter), a vector (applied separably as a 1D +% convolution kernel in X and Y), or a matrix (applied as a 2D +% convolution kernel). The downsampling is always by 2 in each +% direction. +% +% The procedure is applied recursively LEVELS times (default=1). + +% Eero Simoncelli, 3/97. + +function res = blurDn(im, nlevs, filt) + +%------------------------------------------------------------ +%% OPTIONAL ARGS: + +if (exist('nlevs') ~= 1) + nlevs = 1; +end + +if (exist('filt') ~= 1) + filt = 'binom5'; +end + +%------------------------------------------------------------ + +if isstr(filt) + filt = namedFilter(filt); +end + +filt = filt/sum(filt(:)); + +if nlevs > 1 + im = blurDn(im,nlevs-1,filt); +end + +if (nlevs >= 1) + if (any(size(im)==1)) + if (~any(size(filt)==1)) + error('Cant apply 2D filter to 1D signal'); + end + if (size(im,2)==1) + filt = filt(:); + else + filt = filt(:)'; + end + res = corrDn(im,filt,'reflect1',(size(im)~=1)+1); + elseif (any(size(filt)==1)) + filt = filt(:); + res = corrDn(im,filt,'reflect1',[2 1]); + res = corrDn(res,filt','reflect1',[1 2]); + else + res = corrDn(im,filt,'reflect1',[2 2]); + end +else + res = im; +end diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/buildGpyr.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/buildGpyr.m new file mode 100644 index 0000000..3f3d07b --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/buildGpyr.m @@ -0,0 +1,82 @@ +% [PYR, INDICES] = buildGpyr(IM, HEIGHT, FILT, EDGES) +% +% Construct a Gaussian pyramid on matrix IM. +% +% HEIGHT (optional) specifies the number of pyramid levels to build. Default +% is 1+maxPyrHt(size(IM),size(FILT)). +% You can also specify 'auto' to use this value. +% +% FILT (optional) can be a string naming a standard filter (see +% namedFilter), or a vector which will be used for (separable) +% convolution. Default = 'binom5'. EDGES specifies edge-handling, and +% defaults to 'reflect1' (see corrDn). +% +% PYR is a vector containing the N pyramid subbands, ordered from fine +% to coarse. INDICES is an Nx2 matrix containing the sizes of +% each subband. This is compatible with the MatLab Wavelet toolbox. + +% Eero Simoncelli, 6/96. + +function [pyr,pind] = buildGpyr(im, ht, filt, edges) + +if (nargin < 1) + error('First argument (IM) is required'); +end + +im_sz = size(im); + +%------------------------------------------------------------ +%% OPTIONAL ARGS: + +if (exist('filt') ~= 1) + filt = 'binom5'; +end + +if isstr(filt) + filt = namedFilter(filt); +end + +if ( (size(filt,1) > 1) & (size(filt,2) > 1) ) + error('FILT should be a 1D filter (i.e., a vector)'); +else + filt = filt(:); +end + +max_ht = 1 + maxPyrHt(im_sz, size(filt,1)); +if ( (exist('ht') ~= 1) | (ht == 'auto') ) + ht = max_ht; +else + if (ht > max_ht) + error(sprintf('Cannot build pyramid higher than %d levels.',max_ht)); + end +end + +if (exist('edges') ~= 1) + edges= 'reflect1'; +end + +%------------------------------------------------------------ + +if (ht <= 1) + + pyr = im(:); + pind = im_sz; + +else + + if (im_sz(2) == 1) + lo2 = corrDn(im, filt, edges, [2 1], [1 1]); + elseif (im_sz(1) == 1) + lo2 = corrDn(im, filt', edges, [1 2], [1 1]); + else + lo = corrDn(im, filt', edges, [1 2], [1 1]); + lo2 = corrDn(lo, filt, edges, [2 1], [1 1]); + end + + [npyr,nind] = buildGpyr(lo2, ht-1, filt, edges); + + pyr = [im(:); npyr]; + pind = [im_sz; nind]; + +end + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/buildLpyr.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/buildLpyr.m new file mode 100644 index 0000000..facb0f3 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/buildLpyr.m @@ -0,0 +1,109 @@ +% [PYR, INDICES] = buildLpyr(IM, HEIGHT, FILT1, FILT2, EDGES) +% +% Construct a Laplacian pyramid on matrix (or vector) IM. +% +% HEIGHT (optional) specifies the number of pyramid levels to build. Default +% is 1+maxPyrHt(size(IM),size(FILT)). You can also specify 'auto' to +% use this value. +% +% FILT1 (optional) can be a string naming a standard filter (see +% namedFilter), or a vector which will be used for (separable) +% convolution. Default = 'binom5'. FILT2 specifies the "expansion" +% filter (default = filt1). EDGES specifies edge-handling, and +% defaults to 'reflect1' (see corrDn). +% +% PYR is a vector containing the N pyramid subbands, ordered from fine +% to coarse. INDICES is an Nx2 matrix containing the sizes of +% each subband. This is compatible with the MatLab Wavelet toolbox. + +% Eero Simoncelli, 6/96. + +function [pyr,pind] = buildLpyr(im, ht, filt1, filt2, edges) + +if (nargin < 1) + error('First argument (IM) is required'); +end + +im_sz = size(im); + +%------------------------------------------------------------ +%% OPTIONAL ARGS: + +if (exist('filt1') ~= 1) + filt1 = 'binom5'; +end + +if isstr(filt1) + filt1 = namedFilter(filt1); +end + +if ( (size(filt1,1) > 1) & (size(filt1,2) > 1) ) + error('FILT1 should be a 1D filter (i.e., a vector)'); +else + filt1 = filt1(:); +end + +if (exist('filt2') ~= 1) + filt2 = filt1; +end + +if isstr(filt2) + filt2 = namedFilter(filt2); +end + +if ( (size(filt2,1) > 1) & (size(filt2,2) > 1) ) + error('FILT2 should be a 1D filter (i.e., a vector)'); +else + filt2 = filt2(:); +end + +max_ht = 1 + maxPyrHt(im_sz, max(size(filt1,1), size(filt2,1))); +if ( (exist('ht') ~= 1) | (ht == 'auto') ) + ht = max_ht; +else + if (ht > max_ht) + error(sprintf('Cannot build pyramid higher than %d levels.',max_ht)); + end +end + +if (exist('edges') ~= 1) + edges= 'reflect1'; +end + +%------------------------------------------------------------ + +if (ht <= 1) + + pyr = im(:); + pind = im_sz; + +else + + if (im_sz(2) == 1) + lo2 = corrDn(im, filt1, edges, [2 1], [1 1]); + elseif (im_sz(1) == 1) + lo2 = corrDn(im, filt1', edges, [1 2], [1 1]); + else + lo = corrDn(im, filt1', edges, [1 2], [1 1]); + int_sz = size(lo); + lo2 = corrDn(lo, filt1, edges, [2 1], [1 1]); + end + + [npyr,nind] = buildLpyr(lo2, ht-1, filt1, filt2, edges); + + if (im_sz(1) == 1) + hi2 = upConv(lo2, filt2', edges, [1 2], [1 1], im_sz); + elseif (im_sz(2) == 1) + hi2 = upConv(lo2, filt2, edges, [2 1], [1 1], im_sz); + else + hi = upConv(lo2, filt2, edges, [2 1], [1 1], int_sz); + hi2 = upConv(hi, filt2', edges, [1 2], [1 1], im_sz); + end + + hi2 = im - hi2; + + pyr = [hi2(:); npyr]; + pind = [im_sz; nind]; + +end + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/buildSCFpyr.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/buildSCFpyr.m new file mode 100644 index 0000000..101b6d2 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/buildSCFpyr.m @@ -0,0 +1,90 @@ +% [PYR, INDICES, STEERMTX, HARMONICS] = buildSCFpyr(IM, HEIGHT, ORDER, TWIDTH) +% +% This is a modified version of buildSFpyr, that constructs a +% complex-valued steerable pyramid using Hilbert-transform pairs +% of filters. Note that the imaginary parts will *not* be steerable. +% +% To reconstruct from this representation, either call reconSFpyr +% on the real part of the pyramid, *or* call reconSCFpyr which will +% use both real and imaginary parts (forcing analyticity). +% +% Description of this transform appears in: Portilla & Simoncelli, +% Int'l Journal of Computer Vision, 40(1):49-71, Oct 2000. +% Further information: http://www.cns.nyu.edu/~eero/STEERPYR/ + +% Original code: Eero Simoncelli, 5/97. +% Modified by Javier Portilla to return complex (quadrature pair) channels, +% 9/97. + +function [pyr,pind,steermtx,harmonics] = buildSCFpyr(im, ht, order, twidth) + +%----------------------------------------------------------------- +%% DEFAULTS: + +max_ht = floor(log2(min(size(im)))) - 2; + +if (exist('ht') ~= 1) + ht = max_ht; +else + if (ht > max_ht) + error(sprintf('Cannot build pyramid higher than %d levels.',max_ht)); + end +end + +if (exist('order') ~= 1) + order = 3; +elseif ((order > 15) | (order < 0)) + fprintf(1,'Warning: ORDER must be an integer in the range [0,15]. Truncating.\n'); + order = min(max(order,0),15); +else + order = round(order); +end +nbands = order+1; + +if (exist('twidth') ~= 1) + twidth = 1; +elseif (twidth <= 0) + fprintf(1,'Warning: TWIDTH must be positive. Setting to 1.\n'); + twidth = 1; +end + +%----------------------------------------------------------------- +%% Steering stuff: + +if (mod((nbands),2) == 0) + harmonics = [0:(nbands/2)-1]'*2 + 1; +else + harmonics = [0:(nbands-1)/2]'*2; +end + +steermtx = steer2HarmMtx(harmonics, pi*[0:nbands-1]/nbands, 'even'); + +%----------------------------------------------------------------- + +dims = size(im); +ctr = ceil((dims+0.5)/2); + +[xramp,yramp] = meshgrid( ([1:dims(2)]-ctr(2))./(dims(2)/2), ... + ([1:dims(1)]-ctr(1))./(dims(1)/2) ); +angle = atan2(yramp,xramp); +log_rad = sqrt(xramp.^2 + yramp.^2); +log_rad(ctr(1),ctr(2)) = log_rad(ctr(1),ctr(2)-1); +log_rad = log2(log_rad); + +%% Radial transition function (a raised cosine in log-frequency): +[Xrcos,Yrcos] = rcosFn(twidth,(-twidth/2),[0 1]); +Yrcos = sqrt(Yrcos); + +YIrcos = sqrt(1.0 - Yrcos.^2); +lo0mask = pointOp(log_rad, YIrcos, Xrcos(1), Xrcos(2)-Xrcos(1), 0); +imdft = fftshift(fft2(im)); +lo0dft = imdft .* lo0mask; + +[pyr,pind] = buildSCFpyrLevs(lo0dft, log_rad, Xrcos, Yrcos, angle, ht, nbands); + +hi0mask = pointOp(log_rad, Yrcos, Xrcos(1), Xrcos(2)-Xrcos(1), 0); +hi0dft = imdft .* hi0mask; +hi0 = ifft2(ifftshift(hi0dft)); + +pyr = [real(hi0(:)) ; pyr]; +pind = [size(hi0); pind]; diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/buildSCFpyrLevs.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/buildSCFpyrLevs.m new file mode 100644 index 0000000..bd75695 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/buildSCFpyrLevs.m @@ -0,0 +1,73 @@ +% [PYR, INDICES] = buildSCFpyrLevs(LODFT, LOGRAD, XRCOS, YRCOS, ANGLE, HEIGHT, NBANDS) +% +% Recursive function for constructing levels of a steerable pyramid. This +% is called by buildSCFpyr, and is not usually called directly. + +% Original code: Eero Simoncelli, 5/97. +% Modified by Javier Portilla to generate complex bands in 9/97. + +function [pyr,pind] = buildSCFpyrLevs(lodft,log_rad,Xrcos,Yrcos,angle,ht,nbands); + +if (ht <= 0) + + lo0 = ifft2(ifftshift(lodft)); + pyr = real(lo0(:)); + pind = size(lo0); + +else + + bands = zeros(prod(size(lodft)), nbands); + bind = zeros(nbands,2); + +% log_rad = log_rad + 1; + Xrcos = Xrcos - log2(2); % shift origin of lut by 1 octave. + + lutsize = 1024; + Xcosn = pi*[-(2*lutsize+1):(lutsize+1)]/lutsize; % [-2*pi:pi] + order = nbands-1; + %% divide by sqrt(sum_(n=0)^(N-1) cos(pi*n/N)^(2(N-1)) ) + %% Thanks to Patrick Teo for writing this out :) + const = (2^(2*order))*(factorial(order)^2)/(nbands*factorial(2*order)); + +% +% Ycosn = sqrt(const) * (cos(Xcosn)).^order; +% + % analityc version: only take one lobe + alfa= mod(pi+Xcosn,2*pi)-pi; + Ycosn = 2*sqrt(const) * (cos(Xcosn).^order) .* (abs(alfa)<pi/2); + + himask = pointOp(log_rad, Yrcos, Xrcos(1), Xrcos(2)-Xrcos(1), 0); + + for b = 1:nbands + anglemask = pointOp(angle, Ycosn, Xcosn(1)+pi*(b-1)/nbands, Xcosn(2)-Xcosn(1)); + banddft = ((-i)^(nbands-1)) .* lodft .* anglemask .* himask; + band = ifft2(ifftshift(banddft)); + +% bands(:,b) = real(band(:)); + % analytic version: full complex value + bands(:,b)=band(:); + bind(b,:) = size(band); + end + + dims = size(lodft); + ctr = ceil((dims+0.5)/2); + lodims = ceil((dims-0.5)/2); + loctr = ceil((lodims+0.5)/2); + lostart = ctr-loctr+1; + loend = lostart+lodims-1; + + log_rad = log_rad(lostart(1):loend(1),lostart(2):loend(2)); + angle = angle(lostart(1):loend(1),lostart(2):loend(2)); + lodft = lodft(lostart(1):loend(1),lostart(2):loend(2)); + YIrcos = abs(sqrt(1.0 - Yrcos.^2)); + lomask = pointOp(log_rad, YIrcos, Xrcos(1), Xrcos(2)-Xrcos(1), 0); + + lodft = lomask .* lodft; + + [npyr,nind] = buildSCFpyrLevs(lodft, log_rad, Xrcos, Yrcos, angle, ht-1, nbands); + + pyr = [bands(:); npyr]; + pind = [bind; nind]; + +end + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/buildSFpyr.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/buildSFpyr.m new file mode 100644 index 0000000..ae67206 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/buildSFpyr.m @@ -0,0 +1,102 @@ +% [PYR, INDICES, STEERMTX, HARMONICS] = buildSFpyr(IM, HEIGHT, ORDER, TWIDTH) +% +% Construct a steerable pyramid on matrix IM, in the Fourier domain. +% This is similar to buildSpyr, except that: +% +% + Reconstruction is exact (within floating point errors) +% + It can produce any number of orientation bands. +% - Typically slower, especially for non-power-of-two sizes. +% - Boundary-handling is circular. +% +% HEIGHT (optional) specifies the number of pyramid levels to build. Default +% is maxPyrHt(size(IM),size(FILT)); +% +% The squared radial functions tile the Fourier plane, with a raised-cosine +% falloff. Angular functions are cos(theta-k\pi/(K+1))^K, where K is +% the ORDER (one less than the number of orientation bands, default= 3). +% +% TWIDTH is the width of the transition region of the radial lowpass +% function, in octaves (default = 1, which gives a raised cosine for +% the bandpass filters). +% +% PYR is a vector containing the N pyramid subbands, ordered from fine +% to coarse. INDICES is an Nx2 matrix containing the sizes of +% each subband. This is compatible with the MatLab Wavelet toolbox. +% See the function STEER for a description of STEERMTX and HARMONICS. + +% Eero Simoncelli, 5/97. +% See http://www.cns.nyu.edu/~eero/STEERPYR/ for more +% information about the Steerable Pyramid image decomposition. + +function [pyr,pind,steermtx,harmonics] = buildSFpyr(im, ht, order, twidth) + +%----------------------------------------------------------------- +%% DEFAULTS: + +max_ht = floor(log2(min(size(im)))) - 2; + +if (exist('ht') ~= 1) + ht = max_ht; +else + if (ht > max_ht) + error(sprintf('Cannot build pyramid higher than %d levels.',max_ht)); + end +end + +if (exist('order') ~= 1) + order = 3; +elseif ((order > 15) | (order < 0)) + fprintf(1,'Warning: ORDER must be an integer in the range [0,15]. Truncating.\n'); + order = min(max(order,0),15); +else + order = round(order); +end +nbands = order+1; + +if (exist('twidth') ~= 1) + twidth = 1; +elseif (twidth <= 0) + fprintf(1,'Warning: TWIDTH must be positive. Setting to 1.\n'); + twidth = 1; +end + +%----------------------------------------------------------------- +%% Steering stuff: + +if (mod((nbands),2) == 0) + harmonics = [0:(nbands/2)-1]'*2 + 1; +else + harmonics = [0:(nbands-1)/2]'*2; +end + +steermtx = steer2HarmMtx(harmonics, pi*[0:nbands-1]/nbands, 'even'); + +%----------------------------------------------------------------- + +dims = size(im); +ctr = ceil((dims+0.5)/2); + +[xramp,yramp] = meshgrid( ([1:dims(2)]-ctr(2))./(dims(2)/2), ... + ([1:dims(1)]-ctr(1))./(dims(1)/2) ); +angle = atan2(yramp,xramp); +log_rad = sqrt(xramp.^2 + yramp.^2); +log_rad(ctr(1),ctr(2)) = log_rad(ctr(1),ctr(2)-1); +log_rad = log2(log_rad); + +%% Radial transition function (a raised cosine in log-frequency): +[Xrcos,Yrcos] = rcosFn(twidth,(-twidth/2),[0 1]); +Yrcos = sqrt(Yrcos); + +YIrcos = sqrt(1.0 - Yrcos.^2); +lo0mask = pointOp(log_rad, YIrcos, Xrcos(1), Xrcos(2)-Xrcos(1), 0); +imdft = fftshift(fft2(im)); +lo0dft = imdft .* lo0mask; + +[pyr,pind] = buildSFpyrLevs(lo0dft, log_rad, Xrcos, Yrcos, angle, ht, nbands); + +hi0mask = pointOp(log_rad, Yrcos, Xrcos(1), Xrcos(2)-Xrcos(1), 0); +hi0dft = imdft .* hi0mask; +hi0 = ifft2(ifftshift(hi0dft)); + +pyr = [real(hi0(:)) ; pyr]; +pind = [size(hi0); pind]; diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/buildSFpyrLevs.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/buildSFpyrLevs.m new file mode 100644 index 0000000..472d861 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/buildSFpyrLevs.m @@ -0,0 +1,63 @@ +% [PYR, INDICES] = buildSFpyrLevs(LODFT, LOGRAD, XRCOS, YRCOS, ANGLE, HEIGHT, NBANDS) +% +% Recursive function for constructing levels of a steerable pyramid. This +% is called by buildSFpyr, and is not usually called directly. + +% Eero Simoncelli, 5/97. + +function [pyr,pind] = buildSFpyrLevs(lodft,log_rad,Xrcos,Yrcos,angle,ht,nbands); + +if (ht <= 0) + + lo0 = ifft2(ifftshift(lodft)); + pyr = real(lo0(:)); + pind = size(lo0); + +else + + bands = zeros(prod(size(lodft)), nbands); + bind = zeros(nbands,2); + +% log_rad = log_rad + 1; + Xrcos = Xrcos - log2(2); % shift origin of lut by 1 octave. + + lutsize = 1024; + Xcosn = pi*[-(2*lutsize+1):(lutsize+1)]/lutsize; % [-2*pi:pi] + order = nbands-1; + %% divide by sqrt(sum_(n=0)^(N-1) cos(pi*n/N)^(2(N-1)) ) + %% Thanks to Patrick Teo for writing this out :) + const = (2^(2*order))*(factorial(order)^2)/(nbands*factorial(2*order)); + Ycosn = sqrt(const) * (cos(Xcosn)).^order; + himask = pointOp(log_rad, Yrcos, Xrcos(1), Xrcos(2)-Xrcos(1), 0); + + for b = 1:nbands + anglemask = pointOp(angle, Ycosn, Xcosn(1)+pi*(b-1)/nbands, Xcosn(2)-Xcosn(1)); + banddft = ((-sqrt(-1))^(nbands-1)) .* lodft .* anglemask .* himask; + band = ifft2(ifftshift(banddft)); + + bands(:,b) = real(band(:)); + bind(b,:) = size(band); + end + + dims = size(lodft); + ctr = ceil((dims+0.5)/2); + lodims = ceil((dims-0.5)/2); + loctr = ceil((lodims+0.5)/2); + lostart = ctr-loctr+1; + loend = lostart+lodims-1; + + log_rad = log_rad(lostart(1):loend(1),lostart(2):loend(2)); + angle = angle(lostart(1):loend(1),lostart(2):loend(2)); + lodft = lodft(lostart(1):loend(1),lostart(2):loend(2)); + YIrcos = abs(sqrt(1.0 - Yrcos.^2)); + lomask = pointOp(log_rad, YIrcos, Xrcos(1), Xrcos(2)-Xrcos(1), 0); + + lodft = lomask .* lodft; + + [npyr,nind] = buildSFpyrLevs(lodft, log_rad, Xrcos, Yrcos, angle, ht-1, nbands); + + pyr = [bands(:); npyr]; + pind = [bind; nind]; + +end + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/buildSpyr.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/buildSpyr.m new file mode 100644 index 0000000..b2bead6 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/buildSpyr.m @@ -0,0 +1,61 @@ +% [PYR, INDICES, STEERMTX, HARMONICS] = buildSpyr(IM, HEIGHT, FILTFILE, EDGES) +% +% Construct a steerable pyramid on matrix IM. +% +% HEIGHT (optional) specifies the number of pyramid levels to build. Default +% is maxPyrHt(size(IM),size(FILT)). +% You can also specify 'auto' to use this value. +% +% FILTFILE (optional) should be a string referring to an m-file that +% returns the rfilters. (examples: 'sp0Filters', 'sp1Filters', +% 'sp3Filters','sp5Filters'. default = 'sp1Filters'). EDGES specifies +% edge-handling, and defaults to 'reflect1' (see corrDn). +% +% PYR is a vector containing the N pyramid subbands, ordered from fine +% to coarse. INDICES is an Nx2 matrix containing the sizes of +% each subband. This is compatible with the MatLab Wavelet toolbox. +% See the function STEER for a description of STEERMTX and HARMONICS. + +% Eero Simoncelli, 6/96. +% See http://www.cis.upenn.edu/~eero/steerpyr.html for more +% information about the Steerable Pyramid image decomposition. + +function [pyr,pind,steermtx,harmonics] = buildSpyr(im, ht, filtfile, edges) + +%----------------------------------------------------------------- +%% DEFAULTS: + +if (exist('filtfile') ~= 1) + filtfile = 'sp1Filters'; +end + +if (exist('edges') ~= 1) + edges= 'reflect1'; +end + +if (isstr(filtfile) & (exist(filtfile) == 2)) + [lo0filt,hi0filt,lofilt,bfilts,steermtx,harmonics] = eval(filtfile); +else + fprintf(1,'\nUse buildSFpyr for pyramids with arbitrary numbers of orientation bands.\n'); + error('FILTFILE argument must be the name of an M-file containing SPYR filters.'); +end + +max_ht = maxPyrHt(size(im), size(lofilt,1)); +if ( (exist('ht') ~= 1) | (ht == 'auto') ) + ht = max_ht; +else + if (ht > max_ht) + error(sprintf('Cannot build pyramid higher than %d levels.',max_ht)); + end +end + +%----------------------------------------------------------------- + +hi0 = corrDn(im, hi0filt, edges); +lo0 = corrDn(im, lo0filt, edges); + +[pyr,pind] = buildSpyrLevs(lo0, ht, lofilt, bfilts, edges); + +pyr = [hi0(:) ; pyr]; +pind = [size(hi0); pind]; + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/buildSpyrLevs.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/buildSpyrLevs.m new file mode 100644 index 0000000..4c00077 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/buildSpyrLevs.m @@ -0,0 +1,37 @@ +% [PYR, INDICES] = buildSpyrLevs(LOIM, HEIGHT, LOFILT, BFILTS, EDGES) +% +% Recursive function for constructing levels of a steerable pyramid. This +% is called by buildSpyr, and is not usually called directly. + +% Eero Simoncelli, 6/96. + +function [pyr,pind] = buildSpyrLevs(lo0,ht,lofilt,bfilts,edges); + +if (ht <= 0) + + pyr = lo0(:); + pind = size(lo0); + +else + + % Assume square filters: + bfiltsz = round(sqrt(size(bfilts,1))); + + bands = zeros(prod(size(lo0)),size(bfilts,2)); + bind = zeros(size(bfilts,2),2); + + for b = 1:size(bfilts,2) + filt = reshape(bfilts(:,b),bfiltsz,bfiltsz); + band = corrDn(lo0, filt, edges); + bands(:,b) = band(:); + bind(b,:) = size(band); + end + + lo = corrDn(lo0, lofilt, edges, [2 2], [1 1]); + + [npyr,nind] = buildSpyrLevs(lo, ht-1, lofilt, bfilts, edges); + + pyr = [bands(:); npyr]; + pind = [bind; nind]; + +end diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/buildWpyr.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/buildWpyr.m new file mode 100644 index 0000000..22ae32f --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/buildWpyr.m @@ -0,0 +1,100 @@ +% [PYR, INDICES] = buildWpyr(IM, HEIGHT, FILT, EDGES) +% +% Construct a separable orthonormal QMF/wavelet pyramid on matrix (or vector) IM. +% +% HEIGHT (optional) specifies the number of pyramid levels to build. Default +% is maxPyrHt(IM,FILT). You can also specify 'auto' to use this value. +% +% FILT (optional) can be a string naming a standard filter (see +% namedFilter), or a vector which will be used for (separable) +% convolution. Filter can be of even or odd length, but should be symmetric. +% Default = 'qmf9'. EDGES specifies edge-handling, and +% defaults to 'reflect1' (see corrDn). +% +% PYR is a vector containing the N pyramid subbands, ordered from fine +% to coarse. INDICES is an Nx2 matrix containing the sizes of +% each subband. This is compatible with the MatLab Wavelet toolbox. + +% Eero Simoncelli, 6/96. + +function [pyr,pind] = buildWpyr(im, ht, filt, edges) + +if (nargin < 1) + error('First argument (IM) is required'); +end + +%------------------------------------------------------------ +%% OPTIONAL ARGS: + +if (exist('filt') ~= 1) + filt = 'qmf9'; +end + +if (exist('edges') ~= 1) + edges= 'reflect1'; +end + +if isstr(filt) + filt = namedFilter(filt); +end + +if ( (size(filt,1) > 1) & (size(filt,2) > 1) ) + error('FILT should be a 1D filter (i.e., a vector)'); +else + filt = filt(:); +end + +hfilt = modulateFlip(filt); + +% Stagger sampling if filter is odd-length: +if (mod(size(filt,1),2) == 0) + stag = 2; +else + stag = 1; +end + +im_sz = size(im); + +max_ht = maxPyrHt(im_sz, size(filt,1)); +if ( (exist('ht') ~= 1) | (ht == 'auto') ) + ht = max_ht; +else + if (ht > max_ht) + error(sprintf('Cannot build pyramid higher than %d levels.',max_ht)); + end +end + +if (ht <= 0) + + pyr = im(:); + pind = im_sz; + +else + + if (im_sz(2) == 1) + lolo = corrDn(im, filt, edges, [2 1], [stag 1]); + hihi = corrDn(im, hfilt, edges, [2 1], [2 1]); + elseif (im_sz(1) == 1) + lolo = corrDn(im, filt', edges, [1 2], [1 stag]); + hihi = corrDn(im, hfilt', edges, [1 2], [1 2]); + else + lo = corrDn(im, filt, edges, [2 1], [stag 1]); + hi = corrDn(im, hfilt, edges, [2 1], [2 1]); + lolo = corrDn(lo, filt', edges, [1 2], [1 stag]); + lohi = corrDn(hi, filt', edges, [1 2], [1 stag]); % horizontal + hilo = corrDn(lo, hfilt', edges, [1 2], [1 2]); % vertical + hihi = corrDn(hi, hfilt', edges, [1 2], [1 2]); % diagonal + end + + [npyr,nind] = buildWpyr(lolo, ht-1, filt, edges); + + if ((im_sz(1) == 1) | (im_sz(2) == 1)) + pyr = [hihi(:); npyr]; + pind = [size(hihi); nind]; + else + pyr = [lohi(:); hilo(:); hihi(:); npyr]; + pind = [size(lohi); size(hilo); size(hihi); nind]; + end + +end + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/cconv2.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/cconv2.m new file mode 100644 index 0000000..efba438 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/cconv2.m @@ -0,0 +1,50 @@ +% RES = CCONV2(MTX1, MTX2, CTR) +% +% Circular convolution of two matrices. Result will be of size of +% LARGER vector. +% +% The origin of the smaller matrix is assumed to be its center. +% For even dimensions, the origin is determined by the CTR (optional) +% argument: +% CTR origin +% 0 DIM/2 (default) +% 1 (DIM/2)+1 + +% Eero Simoncelli, 6/96. Modified 2/97. + +function c = cconv2(a,b,ctr) + +if (exist('ctr') ~= 1) + ctr = 0; +end + +if (( size(a,1) >= size(b,1) ) & ( size(a,2) >= size(b,2) )) + large = a; small = b; +elseif (( size(a,1) <= size(b,1) ) & ( size(a,2) <= size(b,2) )) + large = b; small = a; +else + error('one arg must be larger than the other in both dimensions!'); +end + +ly = size(large,1); +lx = size(large,2); +sy = size(small,1); +sx = size(small,2); + +%% These values are the index of the small mtx that falls on the +%% border pixel of the large matrix when computing the first +%% convolution response sample: +sy2 = floor((sy+ctr+1)/2); +sx2 = floor((sx+ctr+1)/2); + +% pad: +clarge = [ ... + large(ly-sy+sy2+1:ly,lx-sx+sx2+1:lx), large(ly-sy+sy2+1:ly,:), ... + large(ly-sy+sy2+1:ly,1:sx2-1); ... + large(:,lx-sx+sx2+1:lx), large, large(:,1:sx2-1); ... + large(1:sy2-1,lx-sx+sx2+1:lx), ... + large(1:sy2-1,:), ... + large(1:sy2-1,1:sx2-1) ]; + +c = conv2(clarge,small,'valid'); + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/clip.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/clip.m new file mode 100644 index 0000000..28804f3 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/clip.m @@ -0,0 +1,32 @@ +% [RES] = clip(IM, MINVALorRANGE, MAXVAL) +% +% Clip values of matrix IM to lie between minVal and maxVal: +% RES = max(min(IM,MAXVAL),MINVAL) +% The first argument can also specify both min and max, as a 2-vector. +% If only one argument is passed, the range defaults to [0,1]. + +function res = clip(im, minValOrRange, maxVal) + +if (exist('minValOrRange') ~= 1) + minVal = 0; + maxVal = 1; +elseif (length(minValOrRange) == 2) + minVal = minValOrRange(1); + maxVal = minValOrRange(2); +elseif (length(minValOrRange) == 1) + minVal = minValOrRange; + if (exist('maxVal') ~= 1) + maxVal=minVal+1; + end +else + error('MINVAL must be a scalar or a 2-vector'); +end + +if ( maxVal < minVal ) + error('MAXVAL should be less than MINVAL'); +end + +res = im; +res(find(im < minVal)) = minVal; +res(find(im > maxVal)) = maxVal; + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/corrDn.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/corrDn.m new file mode 100644 index 0000000..ff1ab9c --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/corrDn.m @@ -0,0 +1,67 @@ +% RES = corrDn(IM, FILT, EDGES, STEP, START, STOP) +% +% Compute correlation of matrices IM with FILT, followed by +% downsampling. These arguments should be 1D or 2D matrices, and IM +% must be larger (in both dimensions) than FILT. The origin of filt +% is assumed to be floor(size(filt)/2)+1. +% +% EDGES is a string determining boundary handling: +% 'circular' - Circular convolution +% 'reflect1' - Reflect about the edge pixels +% 'reflect2' - Reflect, doubling the edge pixels +% 'repeat' - Repeat the edge pixels +% 'zero' - Assume values of zero outside image boundary +% 'extend' - Reflect and invert +% 'dont-compute' - Zero output when filter overhangs input boundaries +% +% Downsampling factors are determined by STEP (optional, default=[1 1]), +% which should be a 2-vector [y,x]. +% +% The window over which the convolution occurs is specfied by START +% (optional, default=[1,1], and STOP (optional, default=size(IM)). +% +% NOTE: this operation corresponds to multiplication of a signal +% vector by a matrix whose rows contain copies of the FILT shifted by +% multiples of STEP. See upConv.m for the operation corresponding to +% the transpose of this matrix. + +% Eero Simoncelli, 6/96, revised 2/97. + +function res = corrDn(im, filt, edges, step, start, stop) + +%% NOTE: THIS CODE IS NOT ACTUALLY USED! (MEX FILE IS CALLED INSTEAD) + +%%%MM%%% +%%%MM%%% comment out the warning +%%%MM%%% + +%%%MM%%% %fprintf(1,'WARNING: You should compile the MEX version of "corrDn.c",\n found in the MEX subdirectory of matlabPyrTools, and put it in your matlab path. It is MUCH faster, and provides more boundary-handling options.\n'); + +%------------------------------------------------------------ +%% OPTIONAL ARGS: + +if (exist('edges') == 1) + if (strcmp(edges,'reflect1') ~= 1) + warning('Using REFLECT1 edge-handling (use MEX code for other options).'); + end +end + +if (exist('step') ~= 1) + step = [1,1]; +end + +if (exist('start') ~= 1) + start = [1,1]; +end + +if (exist('stop') ~= 1) + stop = size(im); +end + +%------------------------------------------------------------ + +% Reverse order of taps in filt, to do correlation instead of convolution +filt = filt(size(filt,1):-1:1,size(filt,2):-1:1); + +tmp = rconv2(im,filt); +res = tmp(start(1):step(1):stop(1),start(2):step(2):stop(2)); diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/einstein.pgm b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/einstein.pgm new file mode 100644 index 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Samples of VEC are +% first discretized. Optional argument BINSIZE controls the +% discretization, and defaults to 256/(max(VEC)-min(VEC)). +% +% NOTE: This is a heavily biased estimate of entropy when you +% don't have much data. + +% Eero Simoncelli, 6/96. + +function res = entropy2(mtx,binsize) + +%% Ensure it's a vector, not a matrix. +vec = mtx(:); +[mn,mx] = range2(vec); + +if (exist('binsize') == 1) + nbins = max((mx-mn)/binsize, 1); +else + nbins = 256; +end + +[bincount,bins] = histo(vec,nbins); + +%% Collect non-zero bins: +H = bincount(find(bincount)); +H = H/sum(H); + +res = -sum(H .* log2(H)); + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/factorial.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/factorial.m new file mode 100644 index 0000000..9255f43 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/factorial.m @@ -0,0 +1,16 @@ +%% RES = factorial(NUM) +% +% 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histogram of (all) elements of MTX. N contains the histogram +% counts, X is a vector containg the centers of the histogram bins. +% +% nbinsOrBinsize (optional, default = 101) specifies either +% the number of histogram bins, or the negative of the binsize. +% +% binCenter (optional, default = mean2(MTX)) specifies a center position +% for (any one of) the histogram bins. +% +% How does this differ from MatLab's HIST function? This function: +% - allows uniformly spaced bins only. +% +/- operates on all elements of MTX, instead of columnwise. +% + is much faster (approximately a factor of 80 on my machine). +% + allows specification of number of bins OR binsize. Default=101 bins. +% + allows (optional) specification of binCenter. + +% Eero Simoncelli, 3/97. + +function [N, X] = histo(mtx, nbins, binCtr) + +%% NOTE: THIS CODE IS NOT ACTUALLY USED! (MEX FILE IS CALLED INSTEAD) + +fprintf(1,'WARNING: You should compile the MEX version of "histo.c",\n found in the MEX subdirectory of matlabPyrTools, and put it in your matlab path. It is MUCH faster.\n'); + +mtx = mtx(:); + +%------------------------------------------------------------ +%% OPTIONAL ARGS: + +[mn,mx] = range2(mtx); + +if (exist('binCtr') ~= 1) + binCtr = mean(mtx); +end + +if (exist('nbins') == 1) + if (nbins < 0) + binSize = -nbins; + else + binSize = ((mx-mn)/nbins); + tmpNbins = round((mx-binCtr)/binSize) - round((mn-binCtr)/binSize); + if (tmpNbins ~= nbins) + warning('Using %d bins instead of requested number (%d)',tmpNbins,nbins); + end + end +else + binSize = ((mx-mn)/101); +end + +firstBin = binCtr + binSize*round( (mn-binCtr)/binSize ); + +tmpNbins = round((mx-binCtr)/binSize) - round((mn-binCtr)/binSize); + +bins = firstBin + binSize*[0:tmpNbins]; + +[N, X] = hist(mtx, bins); diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/histoMatch.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/histoMatch.m new file mode 100644 index 0000000..ab82782 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/histoMatch.m @@ -0,0 +1,35 @@ +% RES = histoMatch(MTX, N, X) +% +% Modify elements of MTX so that normalized histogram matches that +% specified by vectors X and N, where N contains the histogram counts +% and X the histogram bin positions (see histo). + +% Eero Simoncelli, 7/96. + +function res = histoMatch(mtx, N, X) + +if ( exist('histo') == 3 ) + [oN, oX] = histo(mtx(:), size(X(:),1)); +else + [oN, oX] = hist(mtx(:), size(X(:),1)); +end + +oStep = oX(2) - oX(1); +oC = [0, cumsum(oN)]/sum(oN); +oX = [oX(1)-oStep/2, oX+oStep/2]; + +N = N(:)'; +X = X(:)'; +N = N + mean(N)/(1e8); %% HACK: no empty bins ensures nC strictly monotonic + +nStep = X(2) - X(1); +nC = [0, cumsum(N)]/sum(N); +nX = [X(1)-nStep/2, X+nStep/2]; + +nnX = interp1(nC, nX, oC, 'linear'); + +if ( exist('pointOp') == 3 ) + res = pointOp(mtx, nnX, oX(1), oStep); +else + res = reshape(interp1(oX, nnX, mtx(:)),size(mtx,1),size(mtx,2)); +end diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/ifftshift.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/ifftshift.m new file mode 100644 index 0000000..2ade297 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/ifftshift.m @@ -0,0 +1,15 @@ +% [RES] = ifftshift (MTX) +% +% Inverse of MatLab's FFTSHIFT. That is, +% ifftshift(fftshift(MTX)) = MTX +% for any size MTX. + +% Eero Simoncelli, 2/97. + +function [res] = ifftshift(mtx) + +sz = size(mtx); +DC = ceil((sz+1)./2); % location of DC term in a matlab fft. + +res = [mtx(DC(1):sz(1), DC(2):sz(2)) , mtx(DC(1):sz(1), 1:DC(2)-1); ... + mtx(1:DC(1)-1, DC(2):sz(2)) , mtx(1:DC(1)-1, 1:DC(2)-1)]; diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/imGradient.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/imGradient.m new file mode 100644 index 0000000..23187e3 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/imGradient.m @@ -0,0 +1,48 @@ +% [dx, dy] = imGradient(im, edges) +% +% Compute the gradient of the image using smooth derivative filters +% optimized for accurate direction estimation. Coordinate system +% corresponds to standard pixel indexing: X axis points rightward. Y +% axis points downward. EDGES specify boundary handling (see corrDn +% for options). + +% EPS, 1997. +% original filters from Int'l Conf Image Processing, 1994. +% updated filters 10/2003. +% Added to matlabPyrTools 10/2004. + +function [dx, dy] = imGradient(im, edges) + +%% 1D smoothing and differentiation kernels. +%% See Farid & Simoncelli, IEEE Trans Image Processing, 13(4):496-508, April 2004. + +if (exist('edges') ~= 1) + edges = 'dont-compute'; +end + +gp = [0.037659 0.249153 0.426375 0.249153 0.037659]'; +gd = [-0.109604 -0.276691 0.000000 0.276691 0.109604]'; + +dx = corrDn(corrDn(im, gp, edges), gd', edges); +dy = corrDn(corrDn(im, gd, edges), gp', edges); + +return + +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +%%% TEST: + +%%Make a ramp with random slope and direction +dir = 2*pi*rand - pi; +slope = 10*rand; + +sz = 32 +im = mkRamp(sz, dir, slope); +[dx,dy] = imGradient(im); +showIm(dx + sqrt(-1)*dy); + +ctr = (sz*sz/2)+sz/2; +slopeEst = sqrt(dx(ctr).^2 + dy(ctr).^2); +dirEst = atan2(dy(ctr), dx(ctr)); + +[slope, slopeEst] +[dir, dirEst] diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/imStats.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/imStats.m new file mode 100644 index 0000000..3d79b4c --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/imStats.m @@ -0,0 +1,41 @@ +% imStats(IM1,IM2) +% +% Report image (matrix) statistics. +% When called on a single image IM1, report min, max, mean, stdev, +% and kurtosis. +% When called on two images (IM1 and IM2), report min, max, mean, +% stdev of the difference, and also SNR (relative to IM1). + +% Eero Simoncelli, 6/96. + +function [] = imStats(im1,im2) + +if (~isreal(im1)) + error('Args must be real-valued matrices'); +end + +if (exist('im2') == 1) + difference = im1 - im2; + [mn,mx] = range2(difference); + mean = mean2(difference); + v = var2(difference,mean); + if (v < realmin) + snr = Inf; + else + snr = 10 * log10(var2(im1)/v); + end + fprintf(1, 'Difference statistics:\n'); + fprintf(1, ' Range: [%c, %c]\n',mn,mx); + fprintf(1, ' Mean: %f, Stdev (rmse): %f, SNR (dB): %f\n',... + mean,sqrt(v),snr); +else + [mn,mx] = range2(im1); + mean = mean2(im1); + var = var2(im1); + stdev = sqrt(real(var))+sqrt(imag(var)); + kurt = kurt2(im1, mean, stdev^2); + fprintf(1, 'Image statistics:\n'); + fprintf(1, ' Range: [%f, %f]\n',mn,mx); + fprintf(1, ' Mean: %f, Stdev: %f, Kurtosis: %f\n',mean,stdev,kurt); +end + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/innerProd.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/innerProd.m new file mode 100644 index 0000000..da82321 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/innerProd.m @@ -0,0 +1,12 @@ +% RES = innerProd(MTX) +% +% Compute (MTX' * MTX) efficiently (i.e., without copying the matrix) + +function res = innerProd(mtx) + +fprintf(1,['WARNING: You should compile the MEX version of' ... + ' "innerProd.c",\n found in the MEX subdirectory' ... + ' of matlabPyrTools, and put it in your matlab path.' ... + ' It is MUCH faster and requires less memory.\n']); + +res = mtx' * mtx; diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/kurt2.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/kurt2.m new file mode 100644 index 0000000..8351eb4 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/kurt2.m @@ -0,0 +1,24 @@ +% K = KURT2(MTX,MEAN,VAR) +% +% Sample kurtosis (fourth moment divided by squared variance) +% of a matrix. Kurtosis of a Gaussian distribution is 3. +% MEAN (optional) and VAR (optional) make the computation faster. + +% Eero Simoncelli, 6/96. + +function res = kurt2(mtx, mn, v) + +if (exist('mn') ~= 1) + mn = mean(mean(mtx)); +end + +if (exist('v') ~= 1) + v = var2(mtx,mn); +end + +if (isreal(mtx)) + res = mean(mean(abs(mtx-mn).^4)) / (v^2); +else + res = mean(mean(real(mtx-mn).^4)) / (real(v)^2) + ... + i*mean(mean(imag(mtx-mn).^4)) / (imag(v)^2); +end diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/lplot.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/lplot.m new file mode 100644 index 0000000..3c67d8b --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/lplot.m @@ -0,0 +1,43 @@ +% lplot(VEC, XRANGE) +% +% Plot VEC, a vector, in "lollipop" format. +% XRANGE (optional, default = [1,length(VEC)]), should be a 2-vector +% specifying the X positions (for labeling purposes) of the first and +% last sample of VEC. + +% Mark Liberman, Linguistics Dept, UPenn, 1994. + +function lplot(x,xrange) + +if (exist('xrange') ~= 1) + xrange = [1,length(x)]; +end + +msize = size(x); +if ( msize(2) == 1) + x = x'; +elseif (msize(1) ~= 1) + error('First arg must be a vector'); +end + +if (~isreal(x)) + fprintf(1,'Warning: Imaginary part of signal ignored\n'); + x = abs(x); +end + +N = length(x); +index = xrange(1) + (xrange(2)-xrange(1))*[0:(N-1)]/(N-1) +xinc = index(2)-index(1); + +xx = [zeros(1,N);x;zeros(1,N)]; +indexis = [index;index;index]; +xdiscrete = [0 xx(:)' 0]; +idiscrete = [index(1)-xinc indexis(:)' index(N)+xinc]; + +[mn,mx] = range2(xdiscrete); +ypad = (mx-mn)/12; % MAGIC NUMBER: graph padding + +plot(idiscrete, xdiscrete, index, x, 'o'); +axis([index(1)-xinc, index(N)+xinc, mn-ypad, mx+ypad]); + +return diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/lpyrHt.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/lpyrHt.m new file mode 100644 index 0000000..d6834d7 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/lpyrHt.m @@ -0,0 +1,11 @@ +% [HEIGHT] = lpyrHt(INDICES) +% +% Compute height of Laplacian pyramid with given its INDICES matrix. +% See buildLpyr.m + +% Eero Simoncelli, 6/96. + +function [ht] = lpyrHt(pind) + +% Don't count lowpass residual band +ht = size(pind,1)-1; diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/maxPyrHt.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/maxPyrHt.m new file mode 100644 index 0000000..84bcf29 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/maxPyrHt.m @@ -0,0 +1,25 @@ +% HEIGHT = maxPyrHt(IMSIZE, FILTSIZE) +% +% Compute maximum pyramid height for given image and filter sizes. +% Specifically: the number of corrDn operations that can be sequentially +% performed when subsampling by a factor of 2. + +% Eero Simoncelli, 6/96. + +function height = maxPyrHt(imsz, filtsz) + +imsz = imsz(:); +filtsz = filtsz(:); + +if any(imsz == 1) % 1D image + imsz = prod(imsz); + filtsz = prod(filtsz); +elseif any(filtsz == 1) % 2D image, 1D filter + filtsz = [filtsz(1); filtsz(1)]; +end + +if any(imsz < filtsz) + height = 0; +else + height = 1 + maxPyrHt( floor(imsz/2), filtsz ); +end diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/mean2.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/mean2.m new file mode 100644 index 0000000..177f7ac --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/mean2.m @@ -0,0 +1,7 @@ +% M = MEAN2(MTX) +% +% Sample mean of a matrix. + +function res = mean2(mtx) + +res = mean(mean(mtx)); diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/mkAngle.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/mkAngle.m new file mode 100644 index 0000000..bd54f8d --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/mkAngle.m @@ -0,0 +1,32 @@ +% IM = mkAngle(SIZE, PHASE, ORIGIN) +% +% Compute a matrix of dimension SIZE (a [Y X] 2-vector, or a scalar) +% containing samples of the polar angle (in radians, CW from the +% X-axis, ranging from -pi to pi), relative to angle PHASE (default = +% 0), about ORIGIN pixel (default = (size+1)/2). + +% Eero Simoncelli, 6/96. + +function [res] = mkAngle(sz, phase, origin) + +sz = sz(:); +if (size(sz,1) == 1) + sz = [sz,sz]; +end + +% ----------------------------------------------------------------- +% OPTIONAL args: + +if (exist('origin') ~= 1) + origin = (sz+1)/2; +end + +% ----------------------------------------------------------------- + +[xramp,yramp] = meshgrid( [1:sz(2)]-origin(2), [1:sz(1)]-origin(1) ); + +res = atan2(yramp,xramp); + +if (exist('phase') == 1) + res = mod(res+(pi-phase),2*pi)-pi; +end diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/mkAngularSine.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/mkAngularSine.m new file mode 100644 index 0000000..f5238cc --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/mkAngularSine.m @@ -0,0 +1,42 @@ +% IM = mkAngularSine(SIZE, HARMONIC, AMPL, PHASE, ORIGIN) +% +% Make an angular sinusoidal image: +% AMPL * sin( HARMONIC*theta + PHASE), +% where theta is the angle about the origin. +% SIZE specifies the matrix size, as for zeros(). +% AMPL (default = 1) and PHASE (default = 0) are optional. + +% Eero Simoncelli, 2/97. + +function [res] = mkAngularSine(sz, harmonic, ampl, ph, origin) + +sz = sz(:); +if (size(sz,1) == 1) + sz = [sz,sz]; +end + +mxsz = max(sz(1),sz(2)); + +%------------------------------------------------------------ +%% OPTIONAL ARGS: + +if (exist('harmonic') ~= 1) + harmonic = 1; +end + +if (exist('ampl') ~= 1) + ampl = 1; +end + +if (exist('ph') ~= 1) + ph = 0; +end + +if (exist('origin') ~= 1) + origin = (sz+1)/2; +end + +%------------------------------------------------------------ + +res = ampl * sin(harmonic*mkAngle(sz,ph,origin) + ph); + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/mkDisc.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/mkDisc.m new file mode 100644 index 0000000..33e7d6d --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/mkDisc.m @@ -0,0 +1,61 @@ +% IM = mkDisc(SIZE, RADIUS, ORIGIN, TWIDTH, VALS) +% +% Make a "disk" image. SIZE specifies the matrix size, as for +% zeros(). RADIUS (default = min(size)/4) specifies the radius of +% the disk. ORIGIN (default = (size+1)/2) specifies the +% location of the disk center. TWIDTH (in pixels, default = 2) +% specifies the width over which a soft threshold transition is made. +% VALS (default = [0,1]) should be a 2-vector containing the +% intensity value inside and outside the disk. + +% Eero Simoncelli, 6/96. + +function [res] = mkDisc(sz, rad, origin, twidth, vals) + +if (nargin < 1) + error('Must pass at least a size argument'); +end + +sz = sz(:); +if (size(sz,1) == 1) + sz = [sz sz]; +end + +%------------------------------------------------------------ +% OPTIONAL ARGS: + +if (exist('rad') ~= 1) + rad = min(sz(1),sz(2))/4; +end + +if (exist('origin') ~= 1) + origin = (sz+1)./2; +end + +if (exist('twidth') ~= 1) + twidth = 2; +end + +if (exist('vals') ~= 1) + vals = [1,0]; +end + +%------------------------------------------------------------ + +res = mkR(sz,1,origin); + +if (abs(twidth) < realmin) + res = vals(2) + (vals(1) - vals(2)) * (res <= rad); +else + [Xtbl,Ytbl] = rcosFn(twidth, rad, [vals(1), vals(2)]); + res = pointOp(res, Ytbl, Xtbl(1), Xtbl(2)-Xtbl(1), 0); +% +% OLD interp1 VERSION: +% res = res(:); +% Xtbl(1) = min(res); +% Xtbl(size(Xtbl,2)) = max(res); +% res = reshape(interp1(Xtbl,Ytbl,res), sz(1), sz(2)); +% +end + + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/mkFract.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/mkFract.m new file mode 100644 index 0000000..af95cd5 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/mkFract.m @@ -0,0 +1,36 @@ +% IM = mkFract(SIZE, FRACT_DIM) +% +% Make a matrix of dimensions SIZE (a [Y X] 2-vector, or a scalar) +% containing fractal (pink) noise with power spectral density of the +% form: 1/f^(5-2*FRACT_DIM). Image variance is normalized to 1.0. +% FRACT_DIM defaults to 1.0 + +% Eero Simoncelli, 6/96. + +%% TODO: Verify that this matches Mandelbrot defn of fractal dimension. +%% Make this more efficient! + +function res = mkFract(dims, fract_dim) + +if (exist('fract_dim') ~= 1) + fract_dim = 1.0; +end + +res = randn(dims); +fres = fft2(res); + +sz = size(res); +ctr = ceil((sz+1)./2); + +shape = ifftshift(mkR(sz, -(2.5-fract_dim), ctr)); +shape(1,1) = 1; %%DC term + +fres = shape .* fres; +fres = ifft2(fres); + +if (max(max(abs(imag(fres)))) > 1e-10) + error('Symmetry error in creating fractal'); +else + res = real(fres); + res = res / sqrt(var2(res)); +end diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/mkGaussian.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/mkGaussian.m new file mode 100644 index 0000000..fa8a554 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/mkGaussian.m @@ -0,0 +1,58 @@ +% IM = mkGaussian(SIZE, COVARIANCE, MEAN, AMPLITUDE) +% +% Compute a matrix with dimensions SIZE (a [Y X] 2-vector, or a +% scalar) containing a Gaussian function, centered at pixel position +% specified by MEAN (default = (size+1)/2), with given COVARIANCE (can +% be a scalar, 2-vector, or 2x2 matrix. Default = (min(size)/6)^2), +% and AMPLITUDE. AMPLITUDE='norm' (default) will produce a +% probability-normalized function. All but the first argument are +% optional. + +% Eero Simoncelli, 6/96. + +function [res] = mkGaussian(sz, cov, mn, ampl) + +sz = sz(:); +if (size(sz,1) == 1) + sz = [sz,sz]; +end + +%------------------------------------------------------------ +%% OPTIONAL ARGS: + +if (exist('cov') ~= 1) + cov = (min(sz(1),sz(2))/6)^2; +end + +if (exist('mn') ~= 1) + mn = (sz+1)/2; +end + +if (exist('ampl') ~= 1) + ampl = 'norm'; +end + +%------------------------------------------------------------ + +[xramp,yramp] = meshgrid([1:sz(2)]-mn(2),[1:sz(1)]-mn(1)); + +if (sum(size(cov)) == 2) % scalar + if (strcmp(ampl,'norm')) + ampl = 1/(2*pi*cov(1)); + end + e = (xramp.^2 + yramp.^2)/(-2 * cov); +elseif (sum(size(cov)) == 3) % a 2-vector + if (strcmp(ampl,'norm')) + ampl = 1/(2*pi*sqrt(cov(1)*cov(2))); + end + e = xramp.^2/(-2 * cov(2)) + yramp.^2/(-2 * cov(1)); +else + if (strcmp(ampl,'norm')) + ampl = 1/(2*pi*sqrt(det(cov))); + end + cov = -inv(cov)/2; + e = cov(2,2)*xramp.^2 + (cov(1,2)+cov(2,1))*(xramp.*yramp) ... + + cov(1,1)*yramp.^2; +end + +res = ampl .* exp(e); diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/mkImpulse.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/mkImpulse.m new file mode 100644 index 0000000..9844ee8 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/mkImpulse.m @@ -0,0 +1,25 @@ +% IM = mkImpulse(SIZE, ORIGIN, AMPLITUDE) +% +% Compute a matrix of dimension SIZE (a [Y X] 2-vector, or a scalar) +% containing a single non-zero entry, at position ORIGIN (defaults to +% ceil(size/2)), of value AMPLITUDE (defaults to 1). + +% Eero Simoncelli, 6/96. + +function [res] = mkImpulse(sz, origin, amplitude) + +sz = sz(:)'; +if (size(sz,2) == 1) + sz = [sz sz]; +end + +if (exist('origin') ~= 1) + origin = ceil(sz/2); +end + +if (exist('amplitude') ~= 1) + amplitude = 1; +end + +res = zeros(sz); +res(origin(1),origin(2)) = amplitude; diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/mkR.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/mkR.m new file mode 100644 index 0000000..a1e8448 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/mkR.m @@ -0,0 +1,32 @@ +% IM = mkR(SIZE, EXPT, ORIGIN) +% +% Compute a matrix of dimension SIZE (a [Y X] 2-vector, or a scalar) +% containing samples of a radial ramp function, raised to power EXPT +% (default = 1), with given ORIGIN (default = (size+1)/2, [1 1] = +% upper left). All but the first argument are optional. + +% Eero Simoncelli, 6/96. + +function [res] = mkR(sz, expt, origin) + +sz = sz(:); +if (size(sz,1) == 1) + sz = [sz,sz]; +end + +% ----------------------------------------------------------------- +% OPTIONAL args: + +if (exist('expt') ~= 1) + expt = 1; +end + +if (exist('origin') ~= 1) + origin = (sz+1)/2; +end + +% ----------------------------------------------------------------- + +[xramp,yramp] = meshgrid( [1:sz(2)]-origin(2), [1:sz(1)]-origin(1) ); + +res = (xramp.^2 + yramp.^2).^(expt/2); diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/mkRamp.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/mkRamp.m new file mode 100644 index 0000000..dd37164 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/mkRamp.m @@ -0,0 +1,47 @@ +% IM = mkRamp(SIZE, DIRECTION, SLOPE, INTERCEPT, ORIGIN) +% +% Compute a matrix of dimension SIZE (a [Y X] 2-vector, or a scalar) +% containing samples of a ramp function, with given gradient DIRECTION +% (radians, CW from X-axis, default = 0), SLOPE (per pixel, default = +% 1), and a value of INTERCEPT (default = 0) at the ORIGIN (default = +% (size+1)/2, [1 1] = upper left). All but the first argument are +% optional. + +% Eero Simoncelli, 6/96. 2/97: adjusted coordinate system. + +function [res] = mkRamp(sz, dir, slope, intercept, origin) + +sz = sz(:); +if (size(sz,1) == 1) + sz = [sz,sz]; +end + +% ----------------------------------------------------------------- +% OPTIONAL args: + +if (exist('dir') ~= 1) + dir = 0; +end + +if (exist('slope') ~= 1) + slope = 1; +end + +if (exist('intercept') ~= 1) + intercept = 0; +end + +if (exist('origin') ~= 1) + origin = (sz+1)/2; +end + +% ----------------------------------------------------------------- + +xinc = slope*cos(dir); +yinc = slope*sin(dir); + +[xramp,yramp] = meshgrid( xinc*([1:sz(2)]-origin(2)), ... + yinc*([1:sz(1)]-origin(1)) ); + +res = intercept + xramp + yramp; + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/mkSine.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/mkSine.m new file mode 100644 index 0000000..147eb01 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/mkSine.m @@ -0,0 +1,67 @@ +% IM = mkSine(SIZE, PERIOD, DIRECTION, AMPLITUDE, PHASE, ORIGIN) +% or +% IM = mkSine(SIZE, FREQ, AMPLITUDE, PHASE, ORIGIN) +% +% Compute a matrix of dimension SIZE (a [Y X] 2-vector, or a scalar) +% containing samples of a 2D sinusoid, with given PERIOD (in pixels), +% DIRECTION (radians, CW from X-axis, default = 0), AMPLITUDE (default +% = 1), and PHASE (radians, relative to ORIGIN, default = 0). ORIGIN +% defaults to the center of the image. +% +% In the second form, FREQ is a 2-vector of frequencies (radians/pixel). + +% Eero Simoncelli, 6/96. + +function [res] = mkSine(sz, per_freq, dir_amp, amp_phase, phase_orig, orig) + +%------------------------------------------------------------ +%% OPTIONAL ARGS: + +if (prod(size(per_freq)) == 2) + frequency = norm(per_freq); + direction = atan2(per_freq(1),per_freq(2)); + if (exist('dir_amp') == 1) + amplitude = dir_amp; + else + amplitude = 1; + end + if (exist('amp_phase') == 1) + phase = amp_phase; + else + phase = 0; + end + if (exist('phase_orig') == 1) + origin = phase_orig; + end + if (exist('orig') == 1) + error('Too many arguments for (second form) of mkSine'); + end +else + frequency = 2*pi/per_freq; + if (exist('dir_amp') == 1) + direction = dir_amp; + else + direction = 0; + end + if (exist('amp_phase') == 1) + amplitude = amp_phase; + else + amplitude = 1; + end + if (exist('phase_orig') == 1) + phase = phase_orig; + else + phase = 0; + end + if (exist('orig') == 1) + origin = orig; + end +end + +%------------------------------------------------------------ + +if (exist('origin') == 1) + res = amplitude*sin(mkRamp(sz, direction, frequency, phase, origin)); +else + res = amplitude*sin(mkRamp(sz, direction, frequency, phase)); +end diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/mkSquare.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/mkSquare.m new file mode 100644 index 0000000..84ef466 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/mkSquare.m @@ -0,0 +1,89 @@ +% IM = mkSquare(SIZE, PERIOD, DIRECTION, AMPLITUDE, PHASE, ORIGIN, TWIDTH) +% or +% IM = mkSine(SIZE, FREQ, AMPLITUDE, PHASE, ORIGIN, TWIDTH) +% +% Compute a matrix of dimension SIZE (a [Y X] 2-vector, or a scalar) +% containing samples of a 2D square wave, with given PERIOD (in +% pixels), DIRECTION (radians, CW from X-axis, default = 0), AMPLITUDE +% (default = 1), and PHASE (radians, relative to ORIGIN, default = 0). +% ORIGIN defaults to the center of the image. TWIDTH specifies width +% of raised-cosine edges on the bars of the grating (default = +% min(2,period/3)). +% +% In the second form, FREQ is a 2-vector of frequencies (radians/pixel). + +% Eero Simoncelli, 6/96. + +% TODO: Add duty cycle. + +function [res] = mkSquare(sz, per_freq, dir_amp, amp_phase, phase_orig, orig_twidth, twidth) + +%------------------------------------------------------------ +%% OPTIONAL ARGS: + +if (prod(size(per_freq)) == 2) + frequency = norm(per_freq); + direction = atan2(per_freq(1),per_freq(2)); + if (exist('dir_amp') == 1) + amplitude = dir_amp; + else + amplitude = 1; + end + if (exist('amp_phase') == 1) + phase = amp_phase; + else + phase = 0; + end + if (exist('phase_orig') == 1) + origin = phase_orig; + end + if (exist('orig_twidth') == 1) + transition = orig_twidth; + else + transition = min(2,2*pi/(3*frequency)); + end + if (exist('twidth') == 1) + error('Too many arguments for (second form) of mkSine'); + end +else + frequency = 2*pi/per_freq; + if (exist('dir_amp') == 1) + direction = dir_amp; + else + direction = 0; + end + if (exist('amp_phase') == 1) + amplitude = amp_phase; + else + amplitude = 1; + end + if (exist('phase_orig') == 1) + phase = phase_orig; + else + phase = 0; + end + if (exist('orig_twidth') == 1) + origin = orig_twidth; + end + if (exist('twidth') == 1) + transition = twidth; + else + transition = min(2,2*pi/(3*frequency)); + end + +end + +%------------------------------------------------------------ + +if (exist('origin') == 1) + res = mkRamp(sz, direction, frequency, phase, origin) - pi/2; +else + res = mkRamp(sz, direction, frequency, phase) - pi/2; +end + +[Xtbl,Ytbl] = rcosFn(transition*frequency,pi/2,[-amplitude amplitude]); + +res = pointOp(abs(mod(res+pi, 2*pi)-pi),Ytbl,Xtbl(1),Xtbl(2)-Xtbl(1),0); + +% OLD threshold version: +%res = amplitude * (mod(res,2*pi) < pi); diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/mkZonePlate.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/mkZonePlate.m new file mode 100644 index 0000000..2b6a4a5 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/mkZonePlate.m @@ -0,0 +1,33 @@ +% IM = mkZonePlate(SIZE, AMPL, PHASE) +% +% Make a "zone plate" image: +% AMPL * cos( r^2 + PHASE) +% SIZE specifies the matrix size, as for zeros(). +% AMPL (default = 1) and PHASE (default = 0) are optional. + +% Eero Simoncelli, 6/96. + +function [res] = mkZonePlate(sz, ampl, ph) + +sz = sz(:); +if (size(sz,1) == 1) + sz = [sz,sz]; +end + +mxsz = max(sz(1),sz(2)); + +%------------------------------------------------------------ +%% OPTIONAL ARGS: + +if (exist('ampl') ~= 1) + ampl = 1; +end + +if (exist('ph') ~= 1) + ph = 0; +end + +%------------------------------------------------------------ + +res = ampl * cos( (pi/mxsz) * mkR(sz,2) + ph ); + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/mod_modified.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/mod_modified.m new file mode 100644 index 0000000..3b83016 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/mod_modified.m @@ -0,0 +1,19 @@ +%%%MM%%% +%%%MM%%% This file ('mod.m') has been renamed to 'mod_modified.m' to prevent +%%%MM%%% complaints from newer versions of Matlab. +%%%MM%%% + +% M = mod(A,B) +% +% Modulus operator: returns A mod B. +% Works on matrics, vectors or scalars. +% +% NOTE: This function is a Matlab-5 builtin, but was missing from Matlab-4. + +% Eero Simoncelli, 7/96. + +function m = mod(a,n) + +m = a - n .* floor(a./n); +return; + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/modulateFlip.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/modulateFlip.m new file mode 100644 index 0000000..eb27303 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/modulateFlip.m @@ -0,0 +1,19 @@ +% [HFILT] = modulateFlipShift(LFILT) +% +% QMF/Wavelet highpass filter construction: modulate by (-1)^n, +% reverse order (and shift by one, which is handled by the convolution +% routines). This is an extension of the original definition of QMF's +% (e.g., see Simoncelli90). + +% Eero Simoncelli, 7/96. + +function [hfilt] = modulateFlipShift(lfilt) + +lfilt = lfilt(:); + +sz = size(lfilt,1); +sz2 = ceil(sz/2); + +ind = [sz:-1:1]'; + +hfilt = lfilt(ind) .* (-1).^(ind-sz2); diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/namedFilter.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/namedFilter.m new file mode 100644 index 0000000..0689dbc --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/namedFilter.m @@ -0,0 +1,71 @@ +% KERNEL = NAMED_FILTER(NAME) +% +% Some standard 1D filter kernels. These are scaled such that +% their L2-norm is 1.0. +% +% binomN - binomial coefficient filter of order N-1 +% haar: - Haar wavelet. +% qmf8, qmf12, qmf16 - Symmetric Quadrature Mirror Filters [Johnston80] +% daub2,daub3,daub4 - Daubechies wavelet [Daubechies88]. +% qmf5, qmf9, qmf13: - Symmetric Quadrature Mirror Filters [Simoncelli88,Simoncelli90] +% +% See bottom of file for full citations. + +% Eero Simoncelli, 6/96. + +function [kernel] = named_filter(name) + +if strcmp(name(1:min(5,size(name,2))), 'binom') + kernel = sqrt(2) * binomialFilter(str2num(name(6:size(name,2)))); +elseif strcmp(name,'qmf5') + kernel = [-0.076103 0.3535534 0.8593118 0.3535534 -0.076103]'; +elseif strcmp(name,'qmf9') + kernel = [0.02807382 -0.060944743 -0.073386624 0.41472545 0.7973934 ... + 0.41472545 -0.073386624 -0.060944743 0.02807382]'; +elseif strcmp(name,'qmf13') + kernel = [-0.014556438 0.021651438 0.039045125 -0.09800052 ... + -0.057827797 0.42995453 0.7737113 0.42995453 -0.057827797 ... + -0.09800052 0.039045125 0.021651438 -0.014556438]'; +elseif strcmp(name,'qmf8') + kernel = sqrt(2) * [0.00938715 -0.07065183 0.06942827 0.4899808 ... + 0.4899808 0.06942827 -0.07065183 0.00938715 ]'; +elseif strcmp(name,'qmf12') + kernel = sqrt(2) * [-0.003809699 0.01885659 -0.002710326 -0.08469594 ... + 0.08846992 0.4843894 0.4843894 0.08846992 -0.08469594 -0.002710326 ... + 0.01885659 -0.003809699 ]'; +elseif strcmp(name,'qmf16') + kernel = sqrt(2) * [0.001050167 -0.005054526 -0.002589756 0.0276414 -0.009666376 ... + -0.09039223 0.09779817 0.4810284 0.4810284 0.09779817 -0.09039223 -0.009666376 ... + 0.0276414 -0.002589756 -0.005054526 0.001050167 ]'; +elseif strcmp(name,'haar') + kernel = [1 1]' / sqrt(2); +elseif strcmp(name,'daub2') + kernel = [0.482962913145 0.836516303738 0.224143868042 -0.129409522551]'; +elseif strcmp(name,'daub3') + kernel = [0.332670552950 0.806891509311 0.459877502118 -0.135011020010 ... + -0.085441273882 0.035226291882]'; +elseif strcmp(name,'daub4') + kernel = [0.230377813309 0.714846570553 0.630880767930 -0.027983769417 ... + -0.187034811719 0.030841381836 0.032883011667 -0.010597401785]'; +elseif strcmp(name,'gauss5') % for backward-compatibility + kernel = sqrt(2) * [0.0625 0.25 0.375 0.25 0.0625]'; +elseif strcmp(name,'gauss3') % for backward-compatibility + kernel = sqrt(2) * [0.25 0.5 0.25]'; +else + error(sprintf('Bad filter name: %s\n',name)); +end + +% [Johnston80] - J D Johnston, "A filter family designed for use in quadrature +% mirror filter banks", Proc. ICASSP, pp 291-294, 1980. +% +% [Daubechies88] - I Daubechies, "Orthonormal bases of compactly supported wavelets", +% Commun. Pure Appl. Math, vol. 42, pp 909-996, 1988. +% +% [Simoncelli88] - E P Simoncelli, "Orthogonal sub-band image transforms", +% PhD Thesis, MIT Dept. of Elec. Eng. and Comp. Sci. May 1988. +% Also available as: MIT Media Laboratory Vision and Modeling Technical +% Report #100. +% +% [Simoncelli90] - E P Simoncelli and E H Adelson, "Subband image coding", +% Subband Transforms, chapter 4, ed. John W Woods, Kluwer Academic +% Publishers, Norwell, MA, 1990, pp 143--192. diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/nextFig.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/nextFig.m new file mode 100644 index 0000000..e0ac73f --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/nextFig.m @@ -0,0 +1,19 @@ +% nextFig (MAXFIGS, SKIP) +% +% Make figure number mod((GCF+SKIP), MAXFIGS) the current figure. +% MAXFIGS is optional, and defaults to 2. +% SKIP is optional, and defaults to 1. + +% Eero Simoncelli, 2/97. + +function nextFig(maxfigs, skip) + +if (exist('maxfigs') ~= 1) + maxfigs = 2; +end + +if (exist('skip') ~= 1) + skip = 1; +end + +figure(1+mod(gcf-1+skip,maxfigs)); diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/pgmRead.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/pgmRead.m new file mode 100644 index 0000000..86c3b62 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/pgmRead.m @@ -0,0 +1,59 @@ +% IM = pgmRead( FILENAME ) +% +% Load a pgm image into a MatLab matrix. +% This format is accessible from the XV image browsing utility. +% Only works for 8bit gray images (raw or ascii) + +% Hany Farid, Spring '96. Modified by Eero Simoncelli, 6/96. + +function im = pgmRead( fname ); + +[fid,msg] = fopen( fname, 'r' ); + +if (fid == -1) + error(msg); +end + +%%% First line contains ID string: +%%% "P1" = ascii bitmap, "P2" = ascii greymap, +%%% "P3" = ascii pixmap, "P4" = raw bitmap, +%%% "P5" = raw greymap, "P6" = raw pixmap +TheLine = fgetl(fid); +format = TheLine; + +if ~((format(1:2) == 'P2') | (format(1:2) == 'P5')) + error('PGM file must be of type P2 or P5'); +end + +%%% Any number of comment lines +TheLine = fgetl(fid); +while TheLine(1) == '#' + TheLine = fgetl(fid); +end + +%%% dimensions +sz = sscanf(TheLine,'%d',2); +xdim = sz(1); +ydim = sz(2); +sz = xdim * ydim; + +%%% Maximum pixel value +TheLine = fgetl(fid); +maxval = sscanf(TheLine, '%d',1); + +%%im = zeros(dim,1); +if (format(2) == '2') + [im,count] = fscanf(fid,'%d',sz); +else + [im,count] = fread(fid,sz,'uchar'); +end + +fclose(fid); + +if (count == sz) + im = reshape( im, xdim, ydim )'; +else + fprintf(1,'Warning: File ended early!'); + im = reshape( [im ; zeros(sz-count,1)], xdim, ydim)'; +end + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/pgmWrite.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/pgmWrite.m new file mode 100644 index 0000000..09c14c9 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/pgmWrite.m @@ -0,0 +1,120 @@ +% RANGE = pgmWrite(MTX, FILENAME, RANGE, TYPE, COMMENT) +% +% Write a MatLab matrix to a pgm (graylevel image) file. +% This format is accessible from the XV image browsing utility. +% +% RANGE (optional) is a 2-vector specifying the values that map to +% black and white, respectively. Passing a value of 'auto' (default) +% sets RANGE=[min,max] (as in MatLab's imagesc). 'auto2' sets +% RANGE=[mean-2*stdev, mean+2*stdev]. 'auto3' sets +% RANGE=[p1-(p2-p1)/8, p2+(p2-p1)/8], where p1 is the 10th percentile +% value of the sorted MATRIX samples, and p2 is the 90th percentile +% value. +% +% TYPE (optional) should be 'raw' or 'ascii'. Defaults to 'raw'. + +% Hany Farid, Spring '96. Modified by Eero Simoncelli, 6/96. + +function range = pgmWrite(mtx, fname, range, type, comment ); + +[fid,msg] = fopen( fname, 'w' ); + +if (fid == -1) + error(msg); +end + +%------------------------------------------------------------ +%% optional ARGS: + +if (exist('range') ~= 1) + range = 'auto'; +end + +if (exist('type') ~= 1) + type = 'raw'; +end +%------------------------------------------------------------ + +%% Automatic range calculation: +if (strcmp(range,'auto1') | strcmp(range,'auto')) + [mn,mx] = range2(mtx); + range = [mn,mx]; + +elseif strcmp(range,'auto2') + stdev = sqrt(var2(mtx)); + av = mean2(mtx); + range = [av-2*stdev,av+2*stdev]; % MAGIC NUMBER: 2 stdevs + +elseif strcmp(range, 'auto3') + percentile = 0.1; % MAGIC NUMBER: 0<p<0.5 + [N,X] = histo(mtx); + binsz = X(2)-X(1); + N = N+1e-10; % Ensure cumsum will be monotonic for call to interp1 + cumN = [0, cumsum(N)]/sum(N); + cumX = [X(1)-binsz, X] + (binsz/2); + ctrRange = interp1(cumN,cumX, [percentile, 1-percentile]); + range = mean(ctrRange) + (ctrRange-mean(ctrRange))/(1-2*percentile); + +elseif isstr(range) + error(sprintf('Bad RANGE argument: %s',range)) + +end + +if ((range(2) - range(1)) <= eps) + range(1) = range(1) - 0.5; + range(2) = range(2) + 0.5; +end + + +%%% First line contains ID string: +%%% "P1" = ascii bitmap, "P2" = ascii greymap, +%%% "P3" = ascii pixmap, "P4" = raw bitmap, +%%% "P5" = raw greymap, "P6" = raw pixmap +if strcmp(type,'raw') + fprintf(fid,'P5\n'); + format = 5; +elseif strcmp(type,'ascii') + fprintf(fid,'P2\n'); + format = 2; +else + error(sprintf('PGMWRITE: Bad type argument: %s',type)); +end + +fprintf(fid,'# MatLab PGMWRITE file, saved %s\n',date); + +if (exist('comment') == 1) + fprintf(fid,'# %s\n', comment); +end + +%%% dimensions +fprintf(fid,'%d %d\n',size(mtx,2),size(mtx,1)); + +%%% Maximum pixel value +fprintf(fid,'255\n'); + + +%% MatLab's "fprintf" floors when writing floats, so we compute +%% (mtx-r1)*255/(r2-r1)+0.5 +mult = (255 / (range(2)-range(1))); +mtx = (mult * mtx) + (0.5 - mult * range(1)); + +mtx = max(-0.5+eps,min(255.5-eps,mtx)); + +if (format == 2) + count = fprintf(fid,'%d ',mtx'); +elseif (format == 5) + count = fwrite(fid,mtx','uchar'); +end + +fclose(fid); + +if (count ~= size(mtx,1)*size(mtx,2)) + fprintf(1,'Warning: File output terminated early!'); +end + +%%% TEST: +% foo = 257*rand(100)-1; +% pgmWrite(foo,'foo.pgm',[0 255]); +% foo2=pgmRead('foo.pgm'); +% size(find((foo2-round(foo))~=0)) +% foo(find((foo2-round(foo))~=0)) diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/pixelAxes.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/pixelAxes.m new file mode 100644 index 0000000..f88210d --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/pixelAxes.m @@ -0,0 +1,70 @@ +% [ZOOM] = pixelAxes(DIMS, ZOOM) +% +% Set the axes of the current plot to cover a multiple of DIMS pixels, +% thereby eliminating screen aliasing artifacts when displaying an +% image of size DIMS. +% +% ZOOM (optional, default='same') expresses the desired number of +% samples displayed per screen pixel. It should be a scalar, which +% will be rounded to the nearest integer, or 1 over an integer. It +% may also be the string 'same' or 'auto', in which case the value is chosen so +% as to produce an image closest in size to the currently displayed +% image. It may also be the string 'full', in which case the image is +% made as large as possible while still fitting in the window. + +% Eero Simoncelli, 2/97. + +function [zoom] = pixelAxes(dims, zoom) + +%------------------------------------------------------------ +%% OPTIONAL ARGS: + +if (exist('zoom') ~= 1) + zoom = 'same'; +end + +%% Reverse dimension order, since Figure Positions reported as (x,y). +dims = dims(2:-1:1); + +%% Use MatLab's axis function to force square pixels, etc: +axis('image'); +ax = gca; + +oldunits = get(ax,'Units'); + +if strcmp(zoom,'full'); + set(ax,'Units','normalized'); + set(ax,'Position',[0 0 1 1]); + zoom = 'same'; +end + +set(ax,'Units','pixels'); +pos = get(ax,'Position'); +ctr = pos(1:2)+pos(3:4)/2; + +if (strcmp(zoom,'same') | strcmp(zoom,'auto')) + %% HACK: enlarge slightly so that floor doesn't round down + zoom = min( pos(3:4) ./ (dims - 1) ); +elseif isstr(zoom) + error(sprintf('Bad ZOOM argument: %s',zoom)); +end + +%% Force zoom value to be an integer, or inverse integer. +if (zoom < 0.75) + zoom = 1/ceil(1/zoom); + %% Round upward, subtracting 0.5 to avoid floating point errors. + newsz = ceil(zoom*(dims-0.5)); +else + zoom = floor(zoom + 0.001); % Avoid floating pt errors + if (zoom < 1.5) % zoom=1 + zoom = 1; + newsz = dims + 0.5; + else + newsz = zoom*(dims-1) + mod(zoom,2); + end +end + +set(ax,'Position', [floor(ctr-newsz/2)+0.5, newsz] ) + +% Restore units +set(ax,'Units',oldunits); diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/pointOp.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/pointOp.m new file mode 100644 index 0000000..890e60a --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/pointOp.m @@ -0,0 +1,28 @@ +% RES = pointOp(IM, LUT, ORIGIN, INCREMENT, WARNINGS) +% +% Apply a point operation, specified by lookup table LUT, to image IM. +% LUT must be a row or column vector, and is assumed to contain +% (equi-spaced) samples of the function. ORIGIN specifies the +% abscissa associated with the first sample, and INCREMENT specifies the +% spacing between samples. Between-sample values are estimated via +% linear interpolation. If WARNINGS is non-zero, the function prints +% a warning whenever the lookup table is extrapolated. +% +% This function is much faster than MatLab's interp1, and allows +% extrapolation beyond the lookup table domain. The drawbacks are +% that the lookup table must be equi-spaced, and the interpolation is +% linear. + +% Eero Simoncelli, 8/96. + +function res = pointOp(im, lut, origin, increment, warnings) + +%% NOTE: THIS CODE IS NOT ACTUALLY USED! (MEX FILE IS CALLED INSTEAD) + +fprintf(1,'WARNING: You should compile the MEX version of "pointOp.c",\n found in the MEX subdirectory of matlabPyrTools, and put it in your matlab path. It is MUCH faster.\n'); + +X = origin + increment*[0:size(lut(:),1)-1]; +Y = lut(:); + +res = reshape(interp1(X, Y, im(:), 'linear', 'extrap'),size(im)); + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/pwd2path.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/pwd2path.m new file mode 100644 index 0000000..15aecf0 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/pwd2path.m @@ -0,0 +1,6 @@ +% PWD2PATH() +% +% add current working directory (pwd) to path. + +P = path; +path(pwd,P); diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/pyrBand.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/pyrBand.m new file mode 100644 index 0000000..1fb6461 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/pyrBand.m @@ -0,0 +1,11 @@ +% RES = pyrBand(PYR, INDICES, BAND_NUM) +% +% Access a subband from a pyramid (gaussian, laplacian, QMF/wavelet, +% or steerable). Subbands are numbered consecutively, from finest +% (highest spatial frequency) to coarsest (lowest spatial frequency). + +% Eero Simoncelli, 6/96. + +function res = pyrBand(pyr, pind, band) + +res = reshape( pyr(pyrBandIndices(pind,band)), pind(band,1), pind(band,2) ); diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/pyrBandIndices.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/pyrBandIndices.m new file mode 100644 index 0000000..f94c217 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/pyrBandIndices.m @@ -0,0 +1,24 @@ +% RES = pyrBandIndices(INDICES, BAND_NUM) +% +% Return indices for accessing a subband from a pyramid +% (gaussian, laplacian, QMF/wavelet, steerable). + +% Eero Simoncelli, 6/96. + +function indices = pyrBandIndices(pind,band) + +if ((band > size(pind,1)) | (band < 1)) + error(sprintf('BAND_NUM must be between 1 and number of pyramid bands (%d).', ... + size(pind,1))); +end + +if (size(pind,2) ~= 2) + error('INDICES must be an Nx2 matrix indicating the size of the pyramid subbands'); +end + +ind = 1; +for l=1:band-1 + ind = ind + prod(pind(l,:)); +end + +indices = ind:ind+prod(pind(band,:))-1; diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/pyrLow.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/pyrLow.m new file mode 100644 index 0000000..290e806 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/pyrLow.m @@ -0,0 +1,12 @@ +% RES = pyrLow(PYR, INDICES) +% +% Access the lowpass subband from a pyramid +% (gaussian, laplacian, QMF/wavelet, steerable). + +% Eero Simoncelli, 6/96. + +function res = pyrLow(pyr,pind) + +band = size(pind,1); + +res = reshape( pyr(pyrBandIndices(pind,band)), pind(band,1), pind(band,2) ); diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/range2.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/range2.m new file mode 100644 index 0000000..1709a0e --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/range2.m @@ -0,0 +1,18 @@ +% [MIN, MAX] = range2(MTX) +% +% Compute minimum and maximum values of MTX, returning them as a 2-vector. + +% Eero Simoncelli, 3/97. + +function [mn, mx] = range2(mtx) + +%% NOTE: THIS CODE IS NOT ACTUALLY USED! (MEX FILE IS CALLED INSTEAD) + +fprintf(1,'WARNING: You should compile the MEX version of "range2.c",\n found in the MEX subdirectory of matlabPyrTools, and put it in your matlab path. It is MUCH faster.\n'); + +if (~isreal(mtx)) + error('MTX must be real-valued'); +end + +mn = min(min(mtx)); +mx = max(max(mtx)); diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/rconv2.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/rconv2.m new file mode 100644 index 0000000..0c12490 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/rconv2.m @@ -0,0 +1,50 @@ +% RES = RCONV2(MTX1, MTX2, CTR) +% +% Convolution of two matrices, with boundaries handled via reflection +% about the edge pixels. Result will be of size of LARGER matrix. +% +% The origin of the smaller matrix is assumed to be its center. +% For even dimensions, the origin is determined by the CTR (optional) +% argument: +% CTR origin +% 0 DIM/2 (default) +% 1 (DIM/2)+1 + +% Eero Simoncelli, 6/96. + +function c = rconv2(a,b,ctr) + +if (exist('ctr') ~= 1) + ctr = 0; +end + +if (( size(a,1) >= size(b,1) ) & ( size(a,2) >= size(b,2) )) + large = a; small = b; +elseif (( size(a,1) <= size(b,1) ) & ( size(a,2) <= size(b,2) )) + large = b; small = a; +else + error('one arg must be larger than the other in both dimensions!'); +end + +ly = size(large,1); +lx = size(large,2); +sy = size(small,1); +sx = size(small,2); + +%% These values are one less than the index of the small mtx that falls on +%% the border pixel of the large matrix when computing the first +%% convolution response sample: +sy2 = floor((sy+ctr-1)/2); +sx2 = floor((sx+ctr-1)/2); + +% pad with reflected copies +clarge = [ + large(sy-sy2:-1:2,sx-sx2:-1:2), large(sy-sy2:-1:2,:), ... + large(sy-sy2:-1:2,lx-1:-1:lx-sx2); ... + large(:,sx-sx2:-1:2), large, large(:,lx-1:-1:lx-sx2); ... + large(ly-1:-1:ly-sy2,sx-sx2:-1:2), ... + large(ly-1:-1:ly-sy2,:), ... + large(ly-1:-1:ly-sy2,lx-1:-1:lx-sx2) ]; + +c = conv2(clarge,small,'valid'); + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/rcosFn.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/rcosFn.m new file mode 100644 index 0000000..5dac344 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/rcosFn.m @@ -0,0 +1,45 @@ +% [X, Y] = rcosFn(WIDTH, POSITION, VALUES) +% +% Return a lookup table (suitable for use by INTERP1) +% containing a "raised cosine" soft threshold function: +% +% Y = VALUES(1) + (VALUES(2)-VALUES(1)) * +% cos^2( PI/2 * (X - POSITION + WIDTH)/WIDTH ) +% +% WIDTH is the width of the region over which the transition occurs +% (default = 1). POSITION is the location of the center of the +% threshold (default = 0). VALUES (default = [0,1]) specifies the +% values to the left and right of the transition. + +% Eero Simoncelli, 7/96. + +function [X, Y] = rcosFn(width,position,values) + +%------------------------------------------------------------ +% OPTIONAL ARGS: + +if (exist('width') ~= 1) + width = 1; +end + +if (exist('position') ~= 1) + position = 0; +end + +if (exist('values') ~= 1) + values = [0,1]; +end + +%------------------------------------------------------------ + +sz = 256; %% arbitrary! + +X = pi * [-sz-1:1] / (2*sz); + +Y = values(1) + (values(2)-values(1)) * cos(X).^2; + +% Make sure end values are repeated, for extrapolation... +Y(1) = Y(2); +Y(sz+3) = Y(sz+2); + +X = position + (2*width/pi) * (X + pi/4); diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/reconLpyr.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/reconLpyr.m new file mode 100644 index 0000000..cddcc12 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/reconLpyr.m @@ -0,0 +1,83 @@ +% RES = reconLpyr(PYR, INDICES, LEVS, FILT2, EDGES) +% +% Reconstruct image from Laplacian pyramid, as created by buildLpyr. +% +% PYR is a vector containing the N pyramid subbands, ordered from fine +% to coarse. INDICES is an Nx2 matrix containing the sizes of +% each subband. This is compatible with the MatLab Wavelet toolbox. +% +% LEVS (optional) should be a list of levels to include, or the string +% 'all' (default). The finest scale is number 1. The lowpass band +% corresponds to lpyrHt(INDICES)+1. +% +% FILT2 (optional) can be a string naming a standard filter (see +% namedFilter), or a vector which will be used for (separable) +% convolution. Default = 'binom5'. EDGES specifies edge-handling, +% and defaults to 'reflect1' (see corrDn). + +% Eero Simoncelli, 6/96 + +function res = reconLpyr(pyr, ind, levs, filt2, edges) + +if (nargin < 2) + error('First two arguments (PYR, INDICES) are required'); +end + +%%------------------------------------------------------------ +%% DEFAULTS: + +if (exist('levs') ~= 1) + levs = 'all'; +end + +if (exist('filt2') ~= 1) + filt2 = 'binom5'; +end + +if (exist('edges') ~= 1) + edges= 'reflect1'; +end +%%------------------------------------------------------------ + +maxLev = 1+lpyrHt(ind); +if strcmp(levs,'all') + levs = [1:maxLev]'; +else + if (any(levs > maxLev)) + error(sprintf('Level numbers must be in the range [1, %d].', maxLev)); + end + levs = levs(:); +end + +if isstr(filt2) + filt2 = namedFilter(filt2); +end + +filt2 = filt2(:); +res_sz = ind(1,:); + +if any(levs > 1) + + int_sz = [ind(1,1), ind(2,2)]; + + nres = reconLpyr( pyr(prod(res_sz)+1:size(pyr,1)), ... + ind(2:size(ind,1),:), levs-1, filt2, edges); + + if (res_sz(1) == 1) + res = upConv(nres, filt2', edges, [1 2], [1 1], res_sz); + elseif (res_sz(2) == 1) + res = upConv(nres, filt2, edges, [2 1], [1 1], res_sz); + else + hi = upConv(nres, filt2, edges, [2 1], [1 1], int_sz); + res = upConv(hi, filt2', edges, [1 2], [1 1], res_sz); + end + +else + + res = zeros(res_sz); + +end + +if any(levs == 1) + res = res + pyrBand(pyr,ind,1); +end diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/reconSCFpyr.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/reconSCFpyr.m new file mode 100644 index 0000000..a86f03d --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/reconSCFpyr.m @@ -0,0 +1,87 @@ +% RES = reconSCFpyr(PYR, INDICES, LEVS, BANDS, TWIDTH) +% +% The inverse of buildSCFpyr: Reconstruct image from its complex steerable pyramid representation, +% in the Fourier domain. +% +% The image is reconstructed by forcing the complex subbands to be analytic +% (zero on half of the 2D Fourier plane, as they are supossed to be unless +% they have being modified), and reconstructing from the real part of those +% analytic subbands. That is equivalent to compute the Hilbert transforms of +% the imaginary parts of the subbands, average them with their real +% counterparts, and then reconstructing from the resulting real subbands. +% +% PYR is a vector containing the N pyramid subbands, ordered from fine +% to coarse. INDICES is an Nx2 matrix containing the sizes of +% each subband. This is compatible with the MatLab Wavelet toolbox. +% +% LEVS (optional) should be a list of levels to include, or the string +% 'all' (default). 0 corresonds to the residual highpass subband. +% 1 corresponds to the finest oriented scale. The lowpass band +% corresponds to number spyrHt(INDICES)+1. +% +% BANDS (optional) should be a list of bands to include, or the string +% 'all' (default). 1 = vertical, rest proceeding anti-clockwise. +% +% TWIDTH is the width of the transition region of the radial lowpass +% function, in octaves (default = 1, which gives a raised cosine for +% the bandpass filters). + +% Javier Portilla, 7/04, basing on Eero Simoncelli's Matlab Pyrtools code +% and our common code on texture synthesis (textureSynthesis.m). + +function res = reconSCFpyr(pyr, indices, levs, bands, twidth) + +%%------------------------------------------------------------ +%% DEFAULTS: + +if ~exist('levs'), + levs = 'all'; +end + +if ~exist('bands') + bands = 'all'; +end + +if ~exist('twidth'), + twidth = 1; +elseif (twidth <= 0) + fprintf(1,'Warning: TWIDTH must be positive. Setting to 1.\n'); + twidth = 1; +end + +%%------------------------------------------------------------ + + +pind = indices; +Nsc = log2(pind(1,1)/pind(end,1)); +Nor = (size(pind,1)-2)/Nsc; + +for nsc = 1:Nsc, + firstBnum = (nsc-1)*Nor+2; + +%% Re-create analytic subbands + dims = pind(firstBnum,:); + ctr = ceil((dims+0.5)/2); + ang = mkAngle(dims, 0, ctr); + ang(ctr(1),ctr(2)) = -pi/2; + for nor = 1:Nor, + nband = (nsc-1)*Nor+nor+1; + ind = pyrBandIndices(pind,nband); + ch = pyrBand(pyr, pind, nband); + ang0 = pi*(nor-1)/Nor; + xang = mod(ang-ang0+pi, 2*pi) - pi; + amask = 2*(abs(xang) < pi/2) + (abs(xang) == pi/2); + amask(ctr(1),ctr(2)) = 1; + amask(:,1) = 1; + amask(1,:) = 1; + amask = fftshift(amask); + ch = ifft2(amask.*fft2(ch)); % "Analytic" version + %f = 1.000008; % With this factor the reconstruction SNR goes up around 6 dB! + f = 1; + ch = f*0.5*real(ch); % real part + pyr(ind) = ch; + end % nor +end % nsc + +res = reconSFpyr(pyr, indices, levs, bands, twidth); + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/reconSFpyr.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/reconSFpyr.m new file mode 100644 index 0000000..0e3109e --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/reconSFpyr.m @@ -0,0 +1,108 @@ +% RES = reconSFpyr(PYR, INDICES, LEVS, BANDS, TWIDTH) +% +% Reconstruct image from its steerable pyramid representation, in the Fourier +% domain, as created by buildSFpyr. +% +% PYR is a vector containing the N pyramid subbands, ordered from fine +% to coarse. INDICES is an Nx2 matrix containing the sizes of +% each subband. This is compatible with the MatLab Wavelet toolbox. +% +% LEVS (optional) should be a list of levels to include, or the string +% 'all' (default). 0 corresonds to the residual highpass subband. +% 1 corresponds to the finest oriented scale. The lowpass band +% corresponds to number spyrHt(INDICES)+1. +% +% BANDS (optional) should be a list of bands to include, or the string +% 'all' (default). 1 = vertical, rest proceeding anti-clockwise. +% +% TWIDTH is the width of the transition region of the radial lowpass +% function, in octaves (default = 1, which gives a raised cosine for +% the bandpass filters). + +%%% MODIFIED VERSION, 7/04, uses different lookup table for radial frequency! + +% Eero Simoncelli, 5/97. + +function res = reconSFpyr(pyr, pind, levs, bands, twidth) + +%%------------------------------------------------------------ +%% DEFAULTS: + +if (exist('levs') ~= 1) + levs = 'all'; +end + +if (exist('bands') ~= 1) + bands = 'all'; +end + +if (exist('twidth') ~= 1) + twidth = 1; +elseif (twidth <= 0) + fprintf(1,'Warning: TWIDTH must be positive. Setting to 1.\n'); + twidth = 1; +end + +%%------------------------------------------------------------ + +nbands = spyrNumBands(pind); + +maxLev = 1+spyrHt(pind); +if strcmp(levs,'all') + levs = [0:maxLev]'; +else + if (any(levs > maxLev) | any(levs < 0)) + error(sprintf('Level numbers must be in the range [0, %d].', maxLev)); + end + levs = levs(:); +end + +if strcmp(bands,'all') + bands = [1:nbands]'; +else + if (any(bands < 1) | any(bands > nbands)) + error(sprintf('Band numbers must be in the range [1,3].', nbands)); + end + bands = bands(:); +end + +%---------------------------------------------------------------------- + +dims = pind(1,:); +ctr = ceil((dims+0.5)/2); + +[xramp,yramp] = meshgrid( ([1:dims(2)]-ctr(2))./(dims(2)/2), ... + ([1:dims(1)]-ctr(1))./(dims(1)/2) ); +angle = atan2(yramp,xramp); +log_rad = sqrt(xramp.^2 + yramp.^2); +log_rad(ctr(1),ctr(2)) = log_rad(ctr(1),ctr(2)-1); +log_rad = log2(log_rad); + +%% Radial transition function (a raised cosine in log-frequency): +[Xrcos,Yrcos] = rcosFn(twidth,(-twidth/2),[0 1]); +Yrcos = sqrt(Yrcos); +YIrcos = sqrt(abs(1.0 - Yrcos.^2)); + +if (size(pind,1) == 2) + if (any(levs==1)) + resdft = fftshift(fft2(pyrBand(pyr,pind,2))); + else + resdft = zeros(pind(2,:)); + end +else + resdft = reconSFpyrLevs(pyr(1+prod(pind(1,:)):size(pyr,1)), ... + pind(2:size(pind,1),:), ... + log_rad, Xrcos, Yrcos, angle, nbands, levs, bands); +end + +lo0mask = pointOp(log_rad, YIrcos, Xrcos(1), Xrcos(2)-Xrcos(1), 0); +resdft = resdft .* lo0mask; + +%% residual highpass subband +if any(levs == 0) + hi0mask = pointOp(log_rad, Yrcos, Xrcos(1), Xrcos(2)-Xrcos(1), 0); + hidft = fftshift(fft2(subMtx(pyr, pind(1,:)))); + resdft = resdft + hidft .* hi0mask; +end + +res = real(ifft2(ifftshift(resdft))); diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/reconSFpyrLevs.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/reconSFpyrLevs.m new file mode 100644 index 0000000..420f278 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/reconSFpyrLevs.m @@ -0,0 +1,69 @@ +% RESDFT = reconSFpyrLevs(PYR,INDICES,LOGRAD,XRCOS,YRCOS,ANGLE,NBANDS,LEVS,BANDS) +% +% Recursive function for reconstructing levels of a steerable pyramid +% representation. This is called by reconSFpyr, and is not usually +% called directly. + +% Eero Simoncelli, 5/97. + +function resdft = reconSFpyrLevs(pyr,pind,log_rad,Xrcos,Yrcos,angle,nbands,levs,bands); + +lo_ind = nbands+1; +dims = pind(1,:); +ctr = ceil((dims+0.5)/2); + +% log_rad = log_rad + 1; +Xrcos = Xrcos - log2(2); % shift origin of lut by 1 octave. + +if any(levs > 1) + + lodims = ceil((dims-0.5)/2); + loctr = ceil((lodims+0.5)/2); + lostart = ctr-loctr+1; + loend = lostart+lodims-1; + nlog_rad = log_rad(lostart(1):loend(1),lostart(2):loend(2)); + nangle = angle(lostart(1):loend(1),lostart(2):loend(2)); + + if (size(pind,1) > lo_ind) + nresdft = reconSFpyrLevs( pyr(1+sum(prod(pind(1:lo_ind-1,:)')):size(pyr,1)),... + pind(lo_ind:size(pind,1),:), ... + nlog_rad, Xrcos, Yrcos, nangle, nbands,levs-1, bands); + else + nresdft = fftshift(fft2(pyrBand(pyr,pind,lo_ind))); + end + + YIrcos = sqrt(abs(1.0 - Yrcos.^2)); + lomask = pointOp(nlog_rad, YIrcos, Xrcos(1), Xrcos(2)-Xrcos(1), 0); + + resdft = zeros(dims); + resdft(lostart(1):loend(1),lostart(2):loend(2)) = nresdft .* lomask; + +else + + resdft = zeros(dims); + +end + + +if any(levs == 1) + + lutsize = 1024; + Xcosn = pi*[-(2*lutsize+1):(lutsize+1)]/lutsize; % [-2*pi:pi] + order = nbands-1; + %% divide by sqrt(sum_(n=0)^(N-1) cos(pi*n/N)^(2(N-1)) ) + const = (2^(2*order))*(factorial(order)^2)/(nbands*factorial(2*order)); + Ycosn = sqrt(const) * (cos(Xcosn)).^order; + himask = pointOp(log_rad, Yrcos, Xrcos(1), Xrcos(2)-Xrcos(1),0); + + ind = 1; + for b = 1:nbands + if any(bands == b) + anglemask = pointOp(angle,Ycosn,Xcosn(1)+pi*(b-1)/nbands,Xcosn(2)-Xcosn(1)); + band = reshape(pyr(ind:ind+prod(dims)-1), dims(1), dims(2)); + banddft = fftshift(fft2(band)); + resdft = resdft + (sqrt(-1))^(nbands-1) * banddft.*anglemask.*himask; + end + ind = ind + prod(dims); + end +end + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/reconSpyr.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/reconSpyr.m new file mode 100644 index 0000000..270009d --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/reconSpyr.m @@ -0,0 +1,96 @@ +% RES = reconSpyr(PYR, INDICES, FILTFILE, EDGES, LEVS, BANDS) +% +% Reconstruct image from its steerable pyramid representation, as created +% by buildSpyr. +% +% PYR is a vector containing the N pyramid subbands, ordered from fine +% to coarse. INDICES is an Nx2 matrix containing the sizes of +% each subband. This is compatible with the MatLab Wavelet toolbox. +% +% FILTFILE (optional) should be a string referring to an m-file that returns +% the rfilters. examples: sp0Filters, sp1Filters, sp3Filters +% (default = 'sp1Filters'). +% EDGES specifies edge-handling, and defaults to 'reflect1' (see +% corrDn). +% +% LEVS (optional) should be a list of levels to include, or the string +% 'all' (default). 0 corresonds to the residual highpass subband. +% 1 corresponds to the finest oriented scale. The lowpass band +% corresponds to number spyrHt(INDICES)+1. +% +% BANDS (optional) should be a list of bands to include, or the string +% 'all' (default). 1 = vertical, rest proceeding anti-clockwise. + +% Eero Simoncelli, 6/96. + +function res = reconSpyr(pyr, pind, filtfile, edges, levs, bands) + +%%------------------------------------------------------------ +%% DEFAULTS: + +if (exist('filtfile') ~= 1) + filtfile = 'sp1Filters'; +end + +if (exist('edges') ~= 1) + edges= 'reflect1'; +end + +if (exist('levs') ~= 1) + levs = 'all'; +end + +if (exist('bands') ~= 1) + bands = 'all'; +end + +%%------------------------------------------------------------ + +if (isstr(filtfile) & (exist(filtfile) == 2)) + [lo0filt,hi0filt,lofilt,bfilts,steermtx,harmonics] = eval(filtfile); + nbands = spyrNumBands(pind); + if ((nbands > 0) & (size(bfilts,2) ~= nbands)) + error('Number of pyramid bands is inconsistent with filter file'); + end +else + error('filtfile argument must be the name of an M-file containing SPYR filters.'); +end + +maxLev = 1+spyrHt(pind); +if strcmp(levs,'all') + levs = [0:maxLev]'; +else + if (any(levs > maxLev) | any(levs < 0)) + error(sprintf('Level numbers must be in the range [0, %d].', maxLev)); + end + levs = levs(:); +end + +if strcmp(bands,'all') + bands = [1:nbands]'; +else + if (any(bands < 1) | any(bands > nbands)) + error(sprintf('Band numbers must be in the range [1,3].', nbands)); + end + bands = bands(:); +end + +if (spyrHt(pind) == 0) + if (any(levs==1)) + res1 = pyrBand(pyr,pind,2); + else + res1 = zeros(pind(2,:)); + end +else + res1 = reconSpyrLevs(pyr(1+prod(pind(1,:)):size(pyr,1)), ... + pind(2:size(pind,1),:), ... + lofilt, bfilts, edges, levs, bands); +end + +res = upConv(res1, lo0filt, edges); + +%% residual highpass subband +if any(levs == 0) + upConv( subMtx(pyr, pind(1,:)), hi0filt, edges, [1 1], [1 1], size(res), res); +end + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/reconSpyrLevs.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/reconSpyrLevs.m new file mode 100644 index 0000000..f8e456c --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/reconSpyrLevs.m @@ -0,0 +1,46 @@ +% RES = reconSpyrLevs(PYR,INDICES,LOFILT,BFILTS,EDGES,LEVS,BANDS) +% +% Recursive function for reconstructing levels of a steerable pyramid +% representation. This is called by reconSpyr, and is not usually +% called directly. + +% Eero Simoncelli, 6/96. + +function res = reconSpyrLevs(pyr,pind,lofilt,bfilts,edges,levs,bands); + +nbands = size(bfilts,2); +lo_ind = nbands+1; +res_sz = pind(1,:); + +% Assume square filters: +bfiltsz = round(sqrt(size(bfilts,1))); + +if any(levs > 1) + + if (size(pind,1) > lo_ind) + nres = reconSpyrLevs( pyr(1+sum(prod(pind(1:lo_ind-1,:)')):size(pyr,1)), ... + pind(lo_ind:size(pind,1),:), ... + lofilt, bfilts, edges, levs-1, bands); + else + nres = pyrBand(pyr,pind,lo_ind); % lowpass subband + end + + res = upConv(nres, lofilt, edges, [2 2], [1 1], res_sz); + +else + + res = zeros(res_sz); + +end + +if any(levs == 1) + ind = 1; + for b = 1:nbands + if any(bands == b) + bfilt = reshape(bfilts(:,b), bfiltsz, bfiltsz); + upConv(reshape(pyr(ind:ind+prod(res_sz)-1), res_sz(1), res_sz(2)), ... + bfilt, edges, [1 1], [1 1], res_sz, res); + end + ind = ind + prod(res_sz); + end +end diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/reconWpyr.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/reconWpyr.m new file mode 100644 index 0000000..fc31226 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/reconWpyr.m @@ -0,0 +1,148 @@ +% RES = reconWpyr(PYR, INDICES, FILT, EDGES, LEVS, BANDS) +% +% Reconstruct image from its separable orthonormal QMF/wavelet pyramid +% representation, as created by buildWpyr. +% +% PYR is a vector containing the N pyramid subbands, ordered from fine +% to coarse. INDICES is an Nx2 matrix containing the sizes of +% each subband. This is compatible with the MatLab Wavelet toolbox. +% +% FILT (optional) can be a string naming a standard filter (see +% namedFilter), or a vector which will be used for (separable) +% convolution. Default = 'qmf9'. EDGES specifies edge-handling, +% and defaults to 'reflect1' (see corrDn). +% +% LEVS (optional) should be a vector of levels to include, or the string +% 'all' (default). 1 corresponds to the finest scale. The lowpass band +% corresponds to wpyrHt(INDICES)+1. +% +% BANDS (optional) should be a vector of bands to include, or the string +% 'all' (default). 1=horizontal, 2=vertical, 3=diagonal. This is only used +% for pyramids of 2D images. + +% Eero Simoncelli, 6/96. + +function res = reconWpyr(pyr, ind, filt, edges, levs, bands) + +if (nargin < 2) + error('First two arguments (PYR INDICES) are required'); +end + +%%------------------------------------------------------------ +%% OPTIONAL ARGS: + +if (exist('filt') ~= 1) + filt = 'qmf9'; +end + +if (exist('edges') ~= 1) + edges= 'reflect1'; +end + +if (exist('levs') ~= 1) + levs = 'all'; +end + +if (exist('bands') ~= 1) + bands = 'all'; +end + +%%------------------------------------------------------------ + +maxLev = 1+wpyrHt(ind); +if strcmp(levs,'all') + levs = [1:maxLev]'; +else + if (any(levs > maxLev)) + error(sprintf('Level numbers must be in the range [1, %d].', maxLev)); + end + levs = levs(:); +end + +if strcmp(bands,'all') + bands = [1:3]'; +else + if (any(bands < 1) | any(bands > 3)) + error('Band numbers must be in the range [1,3].'); + end + bands = bands(:); +end + +if isstr(filt) + filt = namedFilter(filt); +end + +filt = filt(:); +hfilt = modulateFlip(filt); + +%% For odd-length filters, stagger the sampling lattices: +if (mod(size(filt,1),2) == 0) + stag = 2; +else + stag = 1; +end + +%% Compute size of result image: assumes critical sampling (boundaries correct) +res_sz = ind(1,:); +if (res_sz(1) == 1) + loind = 2; + res_sz(2) = sum(ind(:,2)); +elseif (res_sz(2) == 1) + loind = 2; + res_sz(1) = sum(ind(:,1)); +else + loind = 4; + res_sz = ind(1,:) + ind(2,:); %%horizontal + vertical bands. + hres_sz = [ind(1,1), res_sz(2)]; + lres_sz = [ind(2,1), res_sz(2)]; +end + + +%% First, recursively collapse coarser scales: +if any(levs > 1) + + if (size(ind,1) > loind) + nres = reconWpyr( pyr(1+sum(prod(ind(1:loind-1,:)')):size(pyr,1)), ... + ind(loind:size(ind,1),:), filt, edges, levs-1, bands); + else + nres = pyrBand(pyr, ind, loind); % lowpass subband + end + + if (res_sz(1) == 1) + res = upConv(nres, filt', edges, [1 2], [1 stag], res_sz); + elseif (res_sz(2) == 1) + res = upConv(nres, filt, edges, [2 1], [stag 1], res_sz); + else + ires = upConv(nres, filt', edges, [1 2], [1 stag], lres_sz); + res = upConv(ires, filt, edges, [2 1], [stag 1], res_sz); + end + +else + + res = zeros(res_sz); + +end + + +%% Add in reconstructed bands from this level: +if any(levs == 1) + if (res_sz(1) == 1) + upConv(pyrBand(pyr,ind,1), hfilt', edges, [1 2], [1 2], res_sz, res); + elseif (res_sz(2) == 1) + upConv(pyrBand(pyr,ind,1), hfilt, edges, [2 1], [2 1], res_sz, res); + else + if any(bands == 1) % horizontal + ires = upConv(pyrBand(pyr,ind,1),filt',edges,[1 2],[1 stag],hres_sz); + upConv(ires,hfilt,edges,[2 1],[2 1],res_sz,res); %destructively modify res + end + if any(bands == 2) % vertical + ires = upConv(pyrBand(pyr,ind,2),hfilt',edges,[1 2],[1 2],lres_sz); + upConv(ires,filt,edges,[2 1],[stag 1],res_sz,res); %destructively modify res + end + if any(bands == 3) % diagonal + ires = upConv(pyrBand(pyr,ind,3),hfilt',edges,[1 2],[1 2],hres_sz); + upConv(ires,hfilt,edges,[2 1],[2 1],res_sz,res); %destructively modify res + end + end +end + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/setPyrBand.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/setPyrBand.m new file mode 100644 index 0000000..baa9f77 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/setPyrBand.m @@ -0,0 +1,32 @@ +% NEWPYR = setPyrBand(PYR, INDICES, BAND, BAND_NUM) +% +% Insert an image (BAND) into a pyramid (gaussian, laplacian, QMF/wavelet, +% or steerable). Subbands are numbered consecutively, from finest +% (highest spatial frequency) to coarsest (lowest spatial frequency). + +% Eero Simoncelli, 1/03. + +function pyr = pyrBand(pyr, pind, band, bandNum) + +%% Check: PIND a valid index matrix? +if ( ~(ndims(pind) == 2) | ~(size(pind,2) == 2) | ~all(pind==round(pind)) ) + pind + error('pyrTools:badArg',... + 'PIND argument is not an Nbands X 2 matrix of integers'); +end + +%% Check: PIND consistent with size of PYR? +if ( length(pyr) ~= sum(prod(pind,2)) ) + error('pyrTools:badPyr',... + 'Pyramid data vector length is inconsistent with index matrix PIND'); +end + +%% Check: size of BAND consistent with desired BANDNUM? +if (~all(size(band) == pind(bandNum,:))) + size(band) + pind(bandNum,:) + error('pyrTools:badArg',... + 'size of BAND to be inserted is inconsistent with BAND_NUM'); +end + +pyr(pyrBandIndices(pind,bandNum)) = vectify(band); diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/shift.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/shift.m new file mode 100644 index 0000000..497297e --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/shift.m @@ -0,0 +1,15 @@ +% [RES] = shift(MTX, OFFSET) +% +% Circular shift 2D matrix samples by OFFSET (a [Y,X] 2-vector), +% such that RES(POS) = MTX(POS-OFFSET). + +function res = shift(mtx, offset) + +dims = size(mtx); + +offset = mod(-offset,dims); + +res = [ mtx(offset(1)+1:dims(1), offset(2)+1:dims(2)), ... + mtx(offset(1)+1:dims(1), 1:offset(2)); ... + mtx(1:offset(1), offset(2)+1:dims(2)), ... + mtx(1:offset(1), 1:offset(2)) ]; diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/showIm.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/showIm.m new file mode 100644 index 0000000..a9e2bd1 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/showIm.m @@ -0,0 +1,221 @@ +% RANGE = showIm (MATRIX, RANGE, ZOOM, LABEL, NSHADES ) +% +% Display a MatLab MATRIX as a grayscale image in the current figure, +% inside the current axes. If MATRIX is complex, the real and imaginary +% parts are shown side-by-side, with the same grayscale mapping. +% +% If MATRIX is a string, it should be the name of a variable bound to a +% MATRIX in the base (global) environment. This matrix is displayed as an +% image, with the title set to the string. +% +% RANGE (optional) is a 2-vector specifying the values that map to +% black and white, respectively. Passing a value of 'auto' (default) +% sets RANGE=[min,max] (as in MatLab's imagesc). 'auto2' sets +% RANGE=[mean-2*stdev, mean+2*stdev]. 'auto3' sets +% RANGE=[p1-(p2-p1)/8, p2+(p2-p1)/8], where p1 is the 10th percentile +% value of the sorted MATRIX samples, and p2 is the 90th percentile +% value. +% +% ZOOM specifies the number of matrix samples per screen pixel. It +% will be rounded to an integer, or 1 divided by an integer. A value +% of 'same' or 'auto' (default) causes the zoom value to be chosen +% automatically to fit the image into the current axes. A value of +% 'full' fills the axis region (leaving no room for labels). See +% pixelAxes.m. +% +% If LABEL (optional, default = 1, unless zoom='full') is non-zero, the range +% of values that are mapped into the gray colormap and the dimensions +% (size) of the matrix and zoom factor are printed below the image. If label +% is a string, it is used as a title. +% +% NSHADES (optional) specifies the number of gray shades, and defaults +% to the size of the current colormap. + +% Eero Simoncelli, 6/96. + +%%TODO: should use "newplot" + +function range = showIm( im, range, zoom, label, nshades ); + +%------------------------------------------------------------ +%% OPTIONAL ARGS: + +if (nargin < 1) + error('Requires at least one input argument.'); +end + +MLv = version; + +if isstr(im) + if (strcmp(MLv(1),'4')) + error('Cannot pass string arg for MATRIX in MatLab version 4.x'); + end + label = im; + im = evalin('base',im); +end + +if (exist('range') ~= 1) + range = 'auto1'; +end + +if (exist('nshades') ~= 1) + nshades = size(colormap,1); +end +nshades = max( nshades, 2 ); + +if (exist('zoom') ~= 1) + zoom = 'auto'; +end + +if (exist('label') ~= 1) + if strcmp(zoom,'full') + label = 0; % no labeling + else + label = 1; % just print grayrange & dims + end +end + +%------------------------------------------------------------ + +%% Automatic range calculation: +if (strcmp(range,'auto1') | strcmp(range,'auto')) + if isreal(im) + [mn,mx] = range2(im); + else + [mn1,mx1] = range2(real(im)); + [mn2,mx2] = range2(imag(im)); + mn = min(mn1,mn2); + mx = max(mx1,mx2); + end + if any(size(im)==1) + pad = (mx-mn)/12; % MAGIC NUMBER: graph padding + range = [mn-pad, mx+pad]; + else + range = [mn,mx]; + end + +elseif strcmp(range,'auto2') + if isreal(im) + stdev = sqrt(var2(im)); + av = mean2(im); + else + stdev = sqrt((var2(real(im)) + var2(imag(im)))/2); + av = (mean2(real(im)) + mean2(imag(im)))/2; + end + range = [av-2*stdev,av+2*stdev]; % MAGIC NUMBER: 2 stdevs + +elseif strcmp(range, 'auto3') + percentile = 0.1; % MAGIC NUMBER: 0<p<0.5 + [N,X] = histo(im); + binsz = X(2)-X(1); + N = N+1e-10; % Ensure cumsum will be monotonic for call to interp1 + cumN = [0, cumsum(N)]/sum(N); + cumX = [X(1)-binsz, X] + (binsz/2); + ctrRange = interp1(cumN,cumX, [percentile, 1-percentile]); + range = mean(ctrRange) + (ctrRange-mean(ctrRange))/(1-2*percentile); + +elseif isstr(range) + error(sprintf('Bad RANGE argument: %s',range)) + +end + +if ((range(2) - range(1)) <= eps) + range(1) = range(1) - 0.5; + range(2) = range(2) + 0.5; +end + + +if isreal(im) + factor=1; +else + factor = 1+sqrt(-1); +end + +xlbl_offset = 0; % default value + +if (~any(size(im)==1)) + %% MatLab's "image" rounds when mapping to the colormap, so we compute + %% (im-r1)*(nshades-1)/(r2-r1) + 1.5 + mult = ((nshades-1) / (range(2)-range(1))); + d_im = (mult * im) + factor*(1.5 - range(1)*mult); +end + +if isreal(im) + if (any(size(im)==1)) + hh = plot( im); + axis([1, prod(size(im)), range]); + else + hh = image( d_im ); + axis('off'); + zoom = pixelAxes(size(d_im),zoom); + end +else + if (any(size(im)==1)) + subplot(2,1,1); + hh = plot(real(im)); + axis([1, prod(size(im)), range]); + subplot(2,1,2); + hh = plot(imag(im)); + axis([1, prod(size(im)), range]); + else + subplot(1,2,1); + hh = image(real(d_im)); + axis('off'); zoom = pixelAxes(size(d_im),zoom); + ax = gca; orig_units = get(ax,'Units'); + set(ax,'Units','points'); + pos1 = get(ax,'Position'); + set(ax,'Units',orig_units); + subplot(1,2,2); + hh = image(imag(d_im)); + axis('off'); zoom = pixelAxes(size(d_im),zoom); + ax = gca; orig_units = get(ax,'Units'); + set(ax,'Units','points'); + pos2 = get(ax,'Position'); + set(ax,'Units',orig_units); + xlbl_offset = (pos1(1)-pos2(1))/2; + end +end + +if ~any(size(im)==1) + colormap(gray(nshades)); +end + +if ((label ~= 0)) + if isstr(label) + title(label); + h = get(gca,'Title'); + orig_units = get(h,'Units'); + set(h,'Units','points'); + pos = get(h,'Position'); + pos(1:2) = pos(1:2) + [xlbl_offset, -3]; % MAGIC NUMBER: y pixel offset + set(h,'Position',pos); + set(h,'Units',orig_units); + end + + if (~any(size(im)==1)) + if (zoom > 1) + zformat = sprintf('* %d',round(zoom)); + else + zformat = sprintf('/ %d',round(1/zoom)); + end + if isreal(im) + format=[' Range: [%.3g, %.3g] \n Dims: [%d, %d] ', zformat]; + else + format=['Range: [%.3g, %.3g] ---- Dims: [%d, %d]', zformat]; + end + xlabel(sprintf(format, range(1), range(2), size(im,1), size(im,2))); + h = get(gca,'Xlabel'); + set(h,'FontSize', 9); % MAGIC NUMBER: font size!!! + + orig_units = get(h,'Units'); + set(h,'Units','points'); + pos = get(h,'Position'); + pos(1:2) = pos(1:2) + [xlbl_offset, 10]; % MAGIC NUMBER: y offset in points + set(h,'Position',pos); + set(h,'Units',orig_units); + + set(h,'Visible','on'); % axis('image') turned the xlabel off... + end +end + +return; diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/showLpyr.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/showLpyr.m new file mode 100644 index 0000000..0d85f9d --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/showLpyr.m @@ -0,0 +1,202 @@ +% RANGE = showLpyr (PYR, INDICES, RANGE, GAP, LEVEL_SCALE_FACTOR) +% +% Display a Laplacian (or Gaussian) pyramid, specified by PYR and +% INDICES (see buildLpyr), in the current figure. +% +% RANGE is a 2-vector specifying the values that map to black and +% white, respectively. These values are scaled by +% LEVEL_SCALE_FACTOR^(lev-1) for bands at each level. Passing a value +% of 'auto1' sets RANGE to the min and max values of MATRIX. 'auto2' +% sets RANGE to 3 standard deviations below and above 0.0. In both of +% these cases, the lowpass band is independently scaled. A value of +% 'indep1' sets the range of each subband independently, as in a call +% to showIm(subband,'auto1'). Similarly, 'indep2' causes each subband +% to be scaled independently as if by showIm(subband,'indep2'). +% The default value for RANGE is 'auto1' for 1D images, and 'auto2' for +% 2D images. +% +% GAP (optional, default=1) specifies the gap in pixels to leave +% between subbands (2D images only). +% +% LEVEL_SCALE_FACTOR indicates the relative scaling between pyramid +% levels. This should be set to the sum of the kernel taps of the +% lowpass filter used to construct the pyramid (default assumes +% L2-normalalized filters, using a value of 2 for 2D images, sqrt(2) for +% 1D images). + +% Eero Simoncelli, 2/97. + +function [range] = showLpyr(pyr, pind, range, gap, scale); + +% Determine 1D or 2D pyramid: +if ((pind(1,1) == 1) | (pind(1,2) ==1)) + oned = 1; +else + oned = 0; +end + +%------------------------------------------------------------ +%% OPTIONAL ARGS: + +if (exist('range') ~= 1) + if (oned==1) + range = 'auto1'; + else + range = 'auto2'; + end +end + +if (exist('gap') ~= 1) + gap = 1; +end + +if (exist('scale') ~= 1) + if (oned == 1) + scale = sqrt(2); + else + scale = 2; + end +end + +%------------------------------------------------------------ + +nind = size(pind,1); + +%% Auto range calculations: +if strcmp(range,'auto1') + range = zeros(nind,1); + mn = 0.0; mx = 0.0; + for bnum = 1:(nind-1) + band = pyrBand(pyr,pind,bnum)/(scale^(bnum-1)); + range(bnum) = scale^(bnum-1); + [bmn,bmx] = range2(band); + mn = min(mn, bmn); mx = max(mx, bmx); + end + if (oned == 1) + pad = (mx-mn)/12; % *** MAGIC NUMBER!! + mn = mn-pad; mx = mx+pad; + end + range = range * [mn mx]; % outer product + band = pyrLow(pyr,pind); + [mn,mx] = range2(band); + if (oned == 1) + pad = (mx-mn)/12; % *** MAGIC NUMBER!! + mn = mn-pad; mx = mx+pad; + end + range(nind,:) = [mn, mx]; + +elseif strcmp(range,'indep1') + range = zeros(nind,2); + for bnum = 1:nind + band = pyrBand(pyr,pind,bnum); + [mn,mx] = range2(band); + if (oned == 1) + pad = (mx-mn)/12; % *** MAGIC NUMBER!! + mn = mn-pad; mx = mx+pad; + end + range(bnum,:) = [mn mx]; + end + +elseif strcmp(range,'auto2') + range = zeros(nind,1); + sqsum = 0; numpixels = 0; + for bnum = 1:(nind-1) + band = pyrBand(pyr,pind,bnum)/(scale^(bnum-1)); + sqsum = sqsum + sum(sum(band.^2)); + numpixels = numpixels + prod(size(band)); + range(bnum) = scale^(bnum-1); + end + stdev = sqrt(sqsum/(numpixels-1)); + range = range * [ -3*stdev 3*stdev ]; % outer product + band = pyrLow(pyr,pind); + av = mean2(band); stdev = sqrt(var2(band)); + range(nind,:) = [av-2*stdev,av+2*stdev]; + +elseif strcmp(range,'indep2') + range = zeros(nind,2); + for bnum = 1:(nind-1) + band = pyrBand(pyr,pind,bnum); + stdev = sqrt(var2(band)); + range(bnum,:) = [ -3*stdev 3*stdev ]; + end + band = pyrLow(pyr,pind); + av = mean2(band); stdev = sqrt(var2(band)); + range(nind,:) = [av-2*stdev,av+2*stdev]; + +elseif isstr(range) + error(sprintf('Bad RANGE argument: %s',range)) + +elseif ((size(range,1) == 1) & (size(range,2) == 2)) + scales = scale.^[0:nind-1]; + range = scales(:) * range; % outer product + band = pyrLow(pyr,pind); + range(nind,:) = range(nind,:) + mean2(band) - mean(range(nind,:)); + +end + +%% Clear Figure +clf; + +if (oned == 1) + + %%%%% 1D signal: + for bnum=1:nind + band = pyrBand(pyr,pind,bnum); + subplot(nind,1,nind-bnum+1); + plot(band); + axis([1, prod(size(band)), range(bnum,:)]); + end + +else + + %%%%% 2D signal: + colormap(gray); + cmap = get(gcf,'Colormap'); + nshades = size(cmap,1); + + % Find background color index: + clr = get(gcf,'Color'); + bg = 1; + dist = norm(cmap(bg,:)-clr); + for n = 1:nshades + ndist = norm(cmap(n,:)-clr); + if (ndist < dist) + dist = ndist; + bg = n; + end + end + + %% Compute positions of subbands: + llpos = ones(nind,2); + dir = [-1 -1]; + ctr = [pind(1,1)+1+gap 1]; + sz = [0 0]; + for bnum = 1:nind + prevsz = sz; + sz = pind(bnum,:); + + % Determine center position of new band: + ctr = ctr + gap*dir/2 + dir.* floor((prevsz+(dir>0))/2); + dir = dir * [0 -1; 1 0]; % ccw rotation + ctr = ctr + gap*dir/2 + dir.* floor((sz+(dir<0))/2); + llpos(bnum,:) = ctr - floor(sz./2); + end + + %% Make position list positive, and allocate appropriate image: + llpos = llpos - ones(nind,1)*min(llpos) + 1; + urpos = llpos + pind - 1; + d_im = bg + zeros(max(urpos)); + + %% Paste bands into image, (im-r1)*(nshades-1)/(r2-r1) + 1.5 + for bnum=1:nind + mult = (nshades-1) / (range(bnum,2)-range(bnum,1)); + d_im(llpos(bnum,1):urpos(bnum,1), llpos(bnum,2):urpos(bnum,2)) = ... + mult*pyrBand(pyr,pind,bnum) + (1.5-mult*range(bnum,1)); + end + + hh = image(d_im); + axis('off'); + pixelAxes(size(d_im),'full'); + set(hh,'UserData',range); + +end diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/showSpyr.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/showSpyr.m new file mode 100644 index 0000000..da85715 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/showSpyr.m @@ -0,0 +1,188 @@ +% RANGE = showSpyr (PYR, INDICES, RANGE, GAP, LEVEL_SCALE_FACTOR) +% +% Display a steerable pyramid, specified by PYR and INDICES +% (see buildSpyr), in the current figure. The highpass band is not shown. +% +% RANGE is a 2-vector specifying the values that map to black and +% white, respectively. These values are scaled by +% LEVEL_SCALE_FACTOR^(lev-1) for bands at each level. Passing a value +% of 'auto1' sets RANGE to the min and max values of MATRIX. 'auto2' +% sets RANGE to 3 standard deviations below and above 0.0. In both of +% these cases, the lowpass band is independently scaled. A value of +% 'indep1' sets the range of each subband independently, as in a call +% to showIm(subband,'auto1'). Similarly, 'indep2' causes each subband +% to be scaled independently as if by showIm(subband,'indep2'). +% The default value for RANGE is 'auto2'. +% +% GAP (optional, default=1) specifies the gap in pixels to leave +% between subbands. +% +% LEVEL_SCALE_FACTOR indicates the relative scaling between pyramid +% levels. This should be set to the sum of the kernel taps of the +% lowpass filter used to construct the pyramid (default is 2, which is +% correct for L2-normalized filters. + +% Eero Simoncelli, 2/97. + +function [range] = showSpyr(pyr, pind, range, gap, scale); + +nbands = spyrNumBands(pind); + +%------------------------------------------------------------ +%% OPTIONAL ARGS: + +if (exist('range') ~= 1) + range = 'auto2'; +end + +if (exist('gap') ~= 1) + gap = 1; +end + +if (exist('scale') ~= 1) + scale = 2; +end + +%------------------------------------------------------------ + +ht = spyrHt(pind); +nind = size(pind,1); + +%% Auto range calculations: +if strcmp(range,'auto1') + range = ones(nind,1); + band = spyrHigh(pyr,pind); + [mn,mx] = range2(band); + for lnum = 1:ht + for bnum = 1:nbands + band = spyrBand(pyr,pind,lnum,bnum)/(scale^(lnum-1)); + range((lnum-1)*nbands+bnum+1) = scale^(lnum-1); + [bmn,bmx] = range2(band); + mn = min(mn, bmn); + mx = max(mx, bmx); + end + end + range = range * [mn mx]; % outer product + band = pyrLow(pyr,pind); + [mn,mx] = range2(band); + range(nind,:) = [mn, mx]; + +elseif strcmp(range,'indep1') + range = zeros(nind,2); + for bnum = 1:nind + band = pyrBand(pyr,pind,bnum); + [mn,mx] = range2(band); + range(bnum,:) = [mn mx]; + end + +elseif strcmp(range,'auto2') + range = ones(nind,1); + band = spyrHigh(pyr,pind); + sqsum = sum(sum(band.^2)); numpixels = prod(size(band)); + for lnum = 1:ht + for bnum = 1:nbands + band = spyrBand(pyr,pind,lnum,bnum)/(scale^(lnum-1)); + sqsum = sqsum + sum(sum(band.^2)); + numpixels = numpixels + prod(size(band)); + range((lnum-1)*nbands+bnum+1) = scale^(lnum-1); + end + end + stdev = sqrt(sqsum/(numpixels-1)); + range = range * [ -3*stdev 3*stdev ]; % outer product + band = pyrLow(pyr,pind); + av = mean2(band); stdev = sqrt(var2(band)); + range(nind,:) = [av-2*stdev,av+2*stdev]; + +elseif strcmp(range,'indep2') + range = zeros(nind,2); + for bnum = 1:(nind-1) + band = pyrBand(pyr,pind,bnum); + stdev = sqrt(var2(band)); + range(bnum,:) = [ -3*stdev 3*stdev ]; + end + band = pyrLow(pyr,pind); + av = mean2(band); stdev = sqrt(var2(band)); + range(nind,:) = [av-2*stdev,av+2*stdev]; + +elseif isstr(range) + error(sprintf('Bad RANGE argument: %s',range)) + +elseif ((size(range,1) == 1) & (size(range,2) == 2)) + scales = scale.^[0:(ht-1)]; + scales = ones(nbands,1) * scales; %outer product + scales = [1; scales(:); scale^ht]; %tack on highpass and lowpass + range = scales * range; % outer product + band = pyrLow(pyr,pind); + range(nind,:) = range(nind,:) + mean2(band) - mean(range(nind,:)); + +end + +% CLEAR FIGURE: +clf; + +colormap(gray); +cmap = get(gcf,'Colormap'); +nshades = size(cmap,1); + +% Find background color index: +clr = get(gcf,'Color'); +bg = 1; +dist = norm(cmap(bg,:)-clr); +for n = 1:nshades + ndist = norm(cmap(n,:)-clr); + if (ndist < dist) + dist = ndist; + bg = n; + end +end + +%% Compute positions of subbands: +llpos = ones(nind,2); + +if (nbands == 2) + ncols = 1; nrows = 2; +else + ncols = ceil((nbands+1)/2); nrows = ceil(nbands/2); +end +relpos = [ (1-nrows):0, zeros(1,(ncols-1)); ... + zeros(1,nrows), -1:-1:(1-ncols) ]'; +if (nbands > 1) + mvpos = [-1 -1]; +else + mvpos = [0 -1]; +end +basepos = [0 0]; + +for lnum = 1:ht + ind1 = (lnum-1)*nbands + 2; + sz = pind(ind1,:)+gap; + basepos = basepos + mvpos .* sz; + if (nbands < 5) % to align edges... + sz = sz + gap*(ht-lnum+1); + end + llpos(ind1:ind1+nbands-1,:) = relpos * diag(sz) + ones(nbands,1)*basepos; +end + +% lowpass band +sz = pind(nind-1,:)+gap; +basepos = basepos + mvpos .* sz; +llpos(nind,:) = basepos; + +%% Make position list positive, and allocate appropriate image: +llpos = llpos - ones(nind,1)*min(llpos) + 1; +llpos(1,:) = [1 1]; +urpos = llpos + pind - 1; +d_im = bg + zeros(max(urpos)); + +%% Paste bands into image, (im-r1)*(nshades-1)/(r2-r1) + 1.5 +for bnum=2:nind + mult = (nshades-1) / (range(bnum,2)-range(bnum,1)); + d_im(llpos(bnum,1):urpos(bnum,1), llpos(bnum,2):urpos(bnum,2)) = ... + mult*pyrBand(pyr,pind,bnum) + (1.5-mult*range(bnum,1)); +end + +hh = image(d_im); +axis('off'); +pixelAxes(size(d_im),'full'); +set(hh,'UserData',range); + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/showWpyr.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/showWpyr.m new file mode 100644 index 0000000..510e395 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/showWpyr.m @@ -0,0 +1,204 @@ +% RANGE = showWpyr (PYR, INDICES, RANGE, GAP, LEVEL_SCALE_FACTOR) +% +% Display a separable QMF/wavelet pyramid, specified by PYR and INDICES +% (see buildWpyr), in the current figure. +% +% RANGE is a 2-vector specifying the values that map to black and +% white, respectively. These values are scaled by +% LEVEL_SCALE_FACTOR^(lev-1) for bands at each level. Passing a value +% of 'auto1' sets RANGE to the min and max values of MATRIX. 'auto2' +% sets RANGE to 3 standard deviations below and above 0.0. In both of +% these cases, the lowpass band is independently scaled. A value of +% 'indep1' sets the range of each subband independently, as in a call +% to showIm(subband,'auto1'). Similarly, 'indep2' causes each subband +% to be scaled independently as if by showIm(subband,'indep2'). +% The default value for RANGE is 'auto1' for 1D images, and 'auto2' for +% 2D images. +% +% GAP (optional, default=1) specifies the gap in pixels to leave +% between subbands (2D images only). +% +% LEVEL_SCALE_FACTOR indicates the relative scaling between pyramid +% levels. This should be set to the sum of the kernel taps of the +% lowpass filter used to construct the pyramid (default assumes +% L2-normalized filters, using a value of 2 for 2D images, sqrt(2) for +% 1D images). + +% Eero Simoncelli, 2/97. + +function [range] = showWpyr(pyr, pind, range, gap, scale); + +% Determine 1D or 2D pyramid: +if ((pind(1,1) == 1) | (pind(1,2) ==1)) + nbands = 1; +else + nbands = 3; +end + +%------------------------------------------------------------ +%% OPTIONAL ARGS: + +if (exist('range') ~= 1) + if (nbands==1) + range = 'auto1'; + else + range = 'auto2'; + end +end + +if (exist('gap') ~= 1) + gap = 1; +end + +if (exist('scale') ~= 1) + if (nbands == 1) + scale = sqrt(2); + else + scale = 2; + end +end + +%------------------------------------------------------------ + +ht = wpyrHt(pind); +nind = size(pind,1); + +%% Auto range calculations: +if strcmp(range,'auto1') + range = zeros(nind,1); + mn = 0.0; mx = 0.0; + for lnum = 1:ht + for bnum = 1:nbands + band = wpyrBand(pyr,pind,lnum,bnum)/(scale^(lnum-1)); + range((lnum-1)*nbands+bnum) = scale^(lnum-1); + [bmn,bmx] = range2(band); + mn = min(mn, bmn); mx = max(mx, bmx); + end + end + if (nbands == 1) + pad = (mx-mn)/12; % *** MAGIC NUMBER!! + mn = mn-pad; mx = mx+pad; + end + range = range * [mn mx]; % outer product + band = pyrLow(pyr,pind); + [mn,mx] = range2(band); + if (nbands == 1) + pad = (mx-mn)/12; % *** MAGIC NUMBER!! + mn = mn-pad; mx = mx+pad; + end + range(nind,:) = [mn, mx]; + +elseif strcmp(range,'indep1') + range = zeros(nind,2); + for bnum = 1:nind + band = pyrBand(pyr,pind,bnum); + [mn,mx] = range2(band); + if (nbands == 1) + pad = (mx-mn)/12; % *** MAGIC NUMBER!! + mn = mn-pad; mx = mx+pad; + end + range(bnum,:) = [mn mx]; + end + +elseif strcmp(range,'auto2') + range = zeros(nind,1); + sqsum = 0; numpixels = 0; + for lnum = 1:ht + for bnum = 1:nbands + band = wpyrBand(pyr,pind,lnum,bnum)/(scale^(lnum-1)); + sqsum = sqsum + sum(sum(band.^2)); + numpixels = numpixels + prod(size(band)); + range((lnum-1)*nbands+bnum) = scale^(lnum-1); + end + end + stdev = sqrt(sqsum/(numpixels-1)); + range = range * [ -3*stdev 3*stdev ]; % outer product + band = pyrLow(pyr,pind); + av = mean2(band); stdev = sqrt(var2(band)); + range(nind,:) = [av-2*stdev,av+2*stdev]; + +elseif strcmp(range,'indep2') + range = zeros(nind,2); + for bnum = 1:(nind-1) + band = pyrBand(pyr,pind,bnum); + stdev = sqrt(var2(band)); + range(bnum,:) = [ -3*stdev 3*stdev ]; + end + band = pyrLow(pyr,pind); + av = mean2(band); stdev = sqrt(var2(band)); + range(nind,:) = [av-2*stdev,av+2*stdev]; + +elseif isstr(range) + error(sprintf('Bad RANGE argument: %s',range)) + +elseif ((size(range,1) == 1) & (size(range,2) == 2)) + scales = scale.^[0:ht]; + if (nbands ~= 1) + scales = [scales; scales; scales]; + end + range = scales(:) * range; % outer product + band = pyrLow(pyr,pind); + range(nind,:) = range(nind,:) + mean2(band) - mean(range(nind,:)); + +end + +% CLEAR FIGURE: +clf; + +if (nbands == 1) + + %%%%% 1D signal: + for bnum=1:nind + band = pyrBand(pyr,pind,bnum); + subplot(nind,1,nind-bnum+1); + plot(band); + axis([1, prod(size(band)), range(bnum,:)]); + end + +else + + %%%%% 2D signal: + colormap(gray); + cmap = get(gcf,'Colormap'); + nshades = size(cmap,1); + + % Find background color index: + clr = get(gcf,'Color'); + bg = 1; + dist = norm(cmap(bg,:)-clr); + for n = 1:nshades + ndist = norm(cmap(n,:)-clr); + if (ndist < dist) + dist = ndist; + bg = n; + end + end + + %% Compute positions of subbands: + llpos = ones(nind,2); + for lnum = 1:ht + ind1 = nbands*(lnum-1) + 1; + xpos = pind(ind1,2) + 1 + gap*(ht-lnum+1); + ypos = pind(ind1+1,1) + 1 + gap*(ht-lnum+1); + llpos(ind1:ind1+2,:) = [ypos 1; 1 xpos; ypos xpos]; + end + llpos(nind,:) = [1 1]; %lowpass + + %% Make position list positive, and allocate appropriate image: + llpos = llpos - ones(nind,1)*min(llpos) + 1; + urpos = llpos + pind - 1; + d_im = bg + zeros(max(urpos)); + + %% Paste bands into image, (im-r1)*(nshades-1)/(r2-r1) + 1.5 + for bnum=1:nind + mult = (nshades-1) / (range(bnum,2)-range(bnum,1)); + d_im(llpos(bnum,1):urpos(bnum,1), llpos(bnum,2):urpos(bnum,2)) = ... + mult*pyrBand(pyr,pind,bnum) + (1.5-mult*range(bnum,1)); + end + + hh = image(d_im); + axis('off'); + pixelAxes(size(d_im),'full'); + set(hh,'UserData',range); + +end diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/skew2.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/skew2.m new file mode 100644 index 0000000..623d6ca --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/skew2.m @@ -0,0 +1,21 @@ +% S = SKEW2(MTX,MEAN,VAR) +% +% Sample skew (third moment divided by variance^3/2) of a matrix. +% MEAN (optional) and VAR (optional) make the computation faster. + +function res = skew2(mtx, mn, v) + +if (exist('mn') ~= 1) + mn = mean2(mtx); +end + +if (exist('v') ~= 1) + v = var2(mtx,mn); +end + +if (isreal(mtx)) + res = mean(mean((mtx-mn).^3)) / (v^(3/2)); +else + res = mean(mean(real(mtx-mn).^3)) / (real(v)^(3/2)) + ... + i * mean(mean(imag(mtx-mn).^3)) / (imag(v)^(3/2)); +end diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/sp0Filters.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/sp0Filters.m new file mode 100644 index 0000000..6b25e36 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/sp0Filters.m @@ -0,0 +1,72 @@ +% Steerable pyramid filters. Transform described in: +% +% @INPROCEEDINGS{Simoncelli95b, +% TITLE = "The Steerable Pyramid: A Flexible Architecture for +% Multi-Scale Derivative Computation", +% AUTHOR = "E P Simoncelli and W T Freeman", +% BOOKTITLE = "Second Int'l Conf on Image Processing", +% ADDRESS = "Washington, DC", MONTH = "October", YEAR = 1995 } +% +% Filter kernel design described in: +% +%@INPROCEEDINGS{Karasaridis96, +% TITLE = "A Filter Design Technique for +% Steerable Pyramid Image Transforms", +% AUTHOR = "A Karasaridis and E P Simoncelli", +% BOOKTITLE = "ICASSP", ADDRESS = "Atlanta, GA", +% MONTH = "May", YEAR = 1996 } + +% Eero Simoncelli, 6/96. + +function [lo0filt,hi0filt,lofilt,bfilts,mtx,harmonics] = sp0Filters(); + +harmonics = [ 0 ]; + +lo0filt = [ ... +-4.514000e-04 -1.137100e-04 -3.725800e-04 -3.743860e-03 -3.725800e-04 -1.137100e-04 -4.514000e-04 +-1.137100e-04 -6.119520e-03 -1.344160e-02 -7.563200e-03 -1.344160e-02 -6.119520e-03 -1.137100e-04 +-3.725800e-04 -1.344160e-02 6.441488e-02 1.524935e-01 6.441488e-02 -1.344160e-02 -3.725800e-04 +-3.743860e-03 -7.563200e-03 1.524935e-01 3.153017e-01 1.524935e-01 -7.563200e-03 -3.743860e-03 +-3.725800e-04 -1.344160e-02 6.441488e-02 1.524935e-01 6.441488e-02 -1.344160e-02 -3.725800e-04 +-1.137100e-04 -6.119520e-03 -1.344160e-02 -7.563200e-03 -1.344160e-02 -6.119520e-03 -1.137100e-04 +-4.514000e-04 -1.137100e-04 -3.725800e-04 -3.743860e-03 -3.725800e-04 -1.137100e-04 -4.514000e-04]; + +lofilt = [ ... +-2.257000e-04 -8.064400e-04 -5.686000e-05 8.741400e-04 -1.862800e-04 -1.031640e-03 -1.871920e-03 -1.031640e-03 -1.862800e-04 8.741400e-04 -5.686000e-05 -8.064400e-04 -2.257000e-04 +-8.064400e-04 1.417620e-03 -1.903800e-04 -2.449060e-03 -4.596420e-03 -7.006740e-03 -6.948900e-03 -7.006740e-03 -4.596420e-03 -2.449060e-03 -1.903800e-04 1.417620e-03 -8.064400e-04 +-5.686000e-05 -1.903800e-04 -3.059760e-03 -6.401000e-03 -6.720800e-03 -5.236180e-03 -3.781600e-03 -5.236180e-03 -6.720800e-03 -6.401000e-03 -3.059760e-03 -1.903800e-04 -5.686000e-05 +8.741400e-04 -2.449060e-03 -6.401000e-03 -5.260020e-03 3.938620e-03 1.722078e-02 2.449600e-02 1.722078e-02 3.938620e-03 -5.260020e-03 -6.401000e-03 -2.449060e-03 8.741400e-04 +-1.862800e-04 -4.596420e-03 -6.720800e-03 3.938620e-03 3.220744e-02 6.306262e-02 7.624674e-02 6.306262e-02 3.220744e-02 3.938620e-03 -6.720800e-03 -4.596420e-03 -1.862800e-04 +-1.031640e-03 -7.006740e-03 -5.236180e-03 1.722078e-02 6.306262e-02 1.116388e-01 1.348999e-01 1.116388e-01 6.306262e-02 1.722078e-02 -5.236180e-03 -7.006740e-03 -1.031640e-03 +-1.871920e-03 -6.948900e-03 -3.781600e-03 2.449600e-02 7.624674e-02 1.348999e-01 1.576508e-01 1.348999e-01 7.624674e-02 2.449600e-02 -3.781600e-03 -6.948900e-03 -1.871920e-03 +-1.031640e-03 -7.006740e-03 -5.236180e-03 1.722078e-02 6.306262e-02 1.116388e-01 1.348999e-01 1.116388e-01 6.306262e-02 1.722078e-02 -5.236180e-03 -7.006740e-03 -1.031640e-03 +-1.862800e-04 -4.596420e-03 -6.720800e-03 3.938620e-03 3.220744e-02 6.306262e-02 7.624674e-02 6.306262e-02 3.220744e-02 3.938620e-03 -6.720800e-03 -4.596420e-03 -1.862800e-04 +8.741400e-04 -2.449060e-03 -6.401000e-03 -5.260020e-03 3.938620e-03 1.722078e-02 2.449600e-02 1.722078e-02 3.938620e-03 -5.260020e-03 -6.401000e-03 -2.449060e-03 8.741400e-04 +-5.686000e-05 -1.903800e-04 -3.059760e-03 -6.401000e-03 -6.720800e-03 -5.236180e-03 -3.781600e-03 -5.236180e-03 -6.720800e-03 -6.401000e-03 -3.059760e-03 -1.903800e-04 -5.686000e-05 +-8.064400e-04 1.417620e-03 -1.903800e-04 -2.449060e-03 -4.596420e-03 -7.006740e-03 -6.948900e-03 -7.006740e-03 -4.596420e-03 -2.449060e-03 -1.903800e-04 1.417620e-03 -8.064400e-04 +-2.257000e-04 -8.064400e-04 -5.686000e-05 8.741400e-04 -1.862800e-04 -1.031640e-03 -1.871920e-03 -1.031640e-03 -1.862800e-04 8.741400e-04 -5.686000e-05 -8.064400e-04 -2.257000e-04]; + +mtx = [ 1.000000 ]; + +hi0filt = [... +5.997200e-04 -6.068000e-05 -3.324900e-04 -3.325600e-04 -2.406600e-04 -3.325600e-04 -3.324900e-04 -6.068000e-05 5.997200e-04 +-6.068000e-05 1.263100e-04 4.927100e-04 1.459700e-04 -3.732100e-04 1.459700e-04 4.927100e-04 1.263100e-04 -6.068000e-05 +-3.324900e-04 4.927100e-04 -1.616650e-03 -1.437358e-02 -2.420138e-02 -1.437358e-02 -1.616650e-03 4.927100e-04 -3.324900e-04 +-3.325600e-04 1.459700e-04 -1.437358e-02 -6.300923e-02 -9.623594e-02 -6.300923e-02 -1.437358e-02 1.459700e-04 -3.325600e-04 +-2.406600e-04 -3.732100e-04 -2.420138e-02 -9.623594e-02 8.554893e-01 -9.623594e-02 -2.420138e-02 -3.732100e-04 -2.406600e-04 +-3.325600e-04 1.459700e-04 -1.437358e-02 -6.300923e-02 -9.623594e-02 -6.300923e-02 -1.437358e-02 1.459700e-04 -3.325600e-04 +-3.324900e-04 4.927100e-04 -1.616650e-03 -1.437358e-02 -2.420138e-02 -1.437358e-02 -1.616650e-03 4.927100e-04 -3.324900e-04 +-6.068000e-05 1.263100e-04 4.927100e-04 1.459700e-04 -3.732100e-04 1.459700e-04 4.927100e-04 1.263100e-04 -6.068000e-05 +5.997200e-04 -6.068000e-05 -3.324900e-04 -3.325600e-04 -2.406600e-04 -3.325600e-04 -3.324900e-04 -6.068000e-05 5.997200e-04 ]; + +bfilts = [ ... +-9.066000e-05 -1.738640e-03 -4.942500e-03 -7.889390e-03 -1.009473e-02 -7.889390e-03 -4.942500e-03 -1.738640e-03 -9.066000e-05 ... +-1.738640e-03 -4.625150e-03 -7.272540e-03 -7.623410e-03 -9.091950e-03 -7.623410e-03 -7.272540e-03 -4.625150e-03 -1.738640e-03 ... +-4.942500e-03 -7.272540e-03 -2.129540e-02 -2.435662e-02 -3.487008e-02 -2.435662e-02 -2.129540e-02 -7.272540e-03 -4.942500e-03 ... +-7.889390e-03 -7.623410e-03 -2.435662e-02 -1.730466e-02 -3.158605e-02 -1.730466e-02 -2.435662e-02 -7.623410e-03 -7.889390e-03 ... +-1.009473e-02 -9.091950e-03 -3.487008e-02 -3.158605e-02 9.464195e-01 -3.158605e-02 -3.487008e-02 -9.091950e-03 -1.009473e-02 ... +-7.889390e-03 -7.623410e-03 -2.435662e-02 -1.730466e-02 -3.158605e-02 -1.730466e-02 -2.435662e-02 -7.623410e-03 -7.889390e-03 ... +-4.942500e-03 -7.272540e-03 -2.129540e-02 -2.435662e-02 -3.487008e-02 -2.435662e-02 -2.129540e-02 -7.272540e-03 -4.942500e-03 ... +-1.738640e-03 -4.625150e-03 -7.272540e-03 -7.623410e-03 -9.091950e-03 -7.623410e-03 -7.272540e-03 -4.625150e-03 -1.738640e-03 ... +-9.066000e-05 -1.738640e-03 -4.942500e-03 -7.889390e-03 -1.009473e-02 -7.889390e-03 -4.942500e-03 -1.738640e-03 -9.066000e-05 ]'; + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/sp1Filters.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/sp1Filters.m new file mode 100644 index 0000000..215e651 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/sp1Filters.m @@ -0,0 +1,91 @@ +% Steerable pyramid filters. Transform described in: +% +% @INPROCEEDINGS{Simoncelli95b, +% TITLE = "The Steerable Pyramid: A Flexible Architecture for +% Multi-Scale Derivative Computation", +% AUTHOR = "E P Simoncelli and W T Freeman", +% BOOKTITLE = "Second Int'l Conf on Image Processing", +% ADDRESS = "Washington, DC", MONTH = "October", YEAR = 1995 } +% +% Filter kernel design described in: +% +%@INPROCEEDINGS{Karasaridis96, +% TITLE = "A Filter Design Technique for +% Steerable Pyramid Image Transforms", +% AUTHOR = "A Karasaridis and E P Simoncelli", +% BOOKTITLE = "ICASSP", ADDRESS = "Atlanta, GA", +% MONTH = "May", YEAR = 1996 } + +% Eero Simoncelli, 6/96. + +function [lo0filt,hi0filt,lofilt,bfilts,mtx,harmonics] = sp1Filters(); + +harmonics = [ 1 ]; + +%% filters only contain first harmonic. +mtx = eye(2); + +lo0filt = [ ... +-8.701000e-05 -1.354280e-03 -1.601260e-03 -5.033700e-04 2.524010e-03 -5.033700e-04 -1.601260e-03 -1.354280e-03 -8.701000e-05 +-1.354280e-03 2.921580e-03 7.522720e-03 8.224420e-03 1.107620e-03 8.224420e-03 7.522720e-03 2.921580e-03 -1.354280e-03 +-1.601260e-03 7.522720e-03 -7.061290e-03 -3.769487e-02 -3.297137e-02 -3.769487e-02 -7.061290e-03 7.522720e-03 -1.601260e-03 +-5.033700e-04 8.224420e-03 -3.769487e-02 4.381320e-02 1.811603e-01 4.381320e-02 -3.769487e-02 8.224420e-03 -5.033700e-04 +2.524010e-03 1.107620e-03 -3.297137e-02 1.811603e-01 4.376250e-01 1.811603e-01 -3.297137e-02 1.107620e-03 2.524010e-03 +-5.033700e-04 8.224420e-03 -3.769487e-02 4.381320e-02 1.811603e-01 4.381320e-02 -3.769487e-02 8.224420e-03 -5.033700e-04 +-1.601260e-03 7.522720e-03 -7.061290e-03 -3.769487e-02 -3.297137e-02 -3.769487e-02 -7.061290e-03 7.522720e-03 -1.601260e-03 +-1.354280e-03 2.921580e-03 7.522720e-03 8.224420e-03 1.107620e-03 8.224420e-03 7.522720e-03 2.921580e-03 -1.354280e-03 +-8.701000e-05 -1.354280e-03 -1.601260e-03 -5.033700e-04 2.524010e-03 -5.033700e-04 -1.601260e-03 -1.354280e-03 -8.701000e-05 +]; + +lofilt = [ ... +-4.350000e-05 1.207800e-04 -6.771400e-04 -1.243400e-04 -8.006400e-04 -1.597040e-03 -2.516800e-04 -4.202000e-04 1.262000e-03 -4.202000e-04 -2.516800e-04 -1.597040e-03 -8.006400e-04 -1.243400e-04 -6.771400e-04 1.207800e-04 -4.350000e-05 ; ... +1.207800e-04 4.460600e-04 -5.814600e-04 5.621600e-04 -1.368800e-04 2.325540e-03 2.889860e-03 4.287280e-03 5.589400e-03 4.287280e-03 2.889860e-03 2.325540e-03 -1.368800e-04 5.621600e-04 -5.814600e-04 4.460600e-04 1.207800e-04 ; ... +-6.771400e-04 -5.814600e-04 1.460780e-03 2.160540e-03 3.761360e-03 3.080980e-03 4.112200e-03 2.221220e-03 5.538200e-04 2.221220e-03 4.112200e-03 3.080980e-03 3.761360e-03 2.160540e-03 1.460780e-03 -5.814600e-04 -6.771400e-04 ; ... +-1.243400e-04 5.621600e-04 2.160540e-03 3.175780e-03 3.184680e-03 -1.777480e-03 -7.431700e-03 -9.056920e-03 -9.637220e-03 -9.056920e-03 -7.431700e-03 -1.777480e-03 3.184680e-03 3.175780e-03 2.160540e-03 5.621600e-04 -1.243400e-04 ; ... +-8.006400e-04 -1.368800e-04 3.761360e-03 3.184680e-03 -3.530640e-03 -1.260420e-02 -1.884744e-02 -1.750818e-02 -1.648568e-02 -1.750818e-02 -1.884744e-02 -1.260420e-02 -3.530640e-03 3.184680e-03 3.761360e-03 -1.368800e-04 -8.006400e-04 ; ... +-1.597040e-03 2.325540e-03 3.080980e-03 -1.777480e-03 -1.260420e-02 -2.022938e-02 -1.109170e-02 3.955660e-03 1.438512e-02 3.955660e-03 -1.109170e-02 -2.022938e-02 -1.260420e-02 -1.777480e-03 3.080980e-03 2.325540e-03 -1.597040e-03 ; ... +-2.516800e-04 2.889860e-03 4.112200e-03 -7.431700e-03 -1.884744e-02 -1.109170e-02 2.190660e-02 6.806584e-02 9.058014e-02 6.806584e-02 2.190660e-02 -1.109170e-02 -1.884744e-02 -7.431700e-03 4.112200e-03 2.889860e-03 -2.516800e-04 ; ... +-4.202000e-04 4.287280e-03 2.221220e-03 -9.056920e-03 -1.750818e-02 3.955660e-03 6.806584e-02 1.445500e-01 1.773651e-01 1.445500e-01 6.806584e-02 3.955660e-03 -1.750818e-02 -9.056920e-03 2.221220e-03 4.287280e-03 -4.202000e-04 ; ... +1.262000e-03 5.589400e-03 5.538200e-04 -9.637220e-03 -1.648568e-02 1.438512e-02 9.058014e-02 1.773651e-01 2.120374e-01 1.773651e-01 9.058014e-02 1.438512e-02 -1.648568e-02 -9.637220e-03 5.538200e-04 5.589400e-03 1.262000e-03 ; ... +-4.202000e-04 4.287280e-03 2.221220e-03 -9.056920e-03 -1.750818e-02 3.955660e-03 6.806584e-02 1.445500e-01 1.773651e-01 1.445500e-01 6.806584e-02 3.955660e-03 -1.750818e-02 -9.056920e-03 2.221220e-03 4.287280e-03 -4.202000e-04 ; ... +-2.516800e-04 2.889860e-03 4.112200e-03 -7.431700e-03 -1.884744e-02 -1.109170e-02 2.190660e-02 6.806584e-02 9.058014e-02 6.806584e-02 2.190660e-02 -1.109170e-02 -1.884744e-02 -7.431700e-03 4.112200e-03 2.889860e-03 -2.516800e-04 ; ... +-1.597040e-03 2.325540e-03 3.080980e-03 -1.777480e-03 -1.260420e-02 -2.022938e-02 -1.109170e-02 3.955660e-03 1.438512e-02 3.955660e-03 -1.109170e-02 -2.022938e-02 -1.260420e-02 -1.777480e-03 3.080980e-03 2.325540e-03 -1.597040e-03 ; ... +-8.006400e-04 -1.368800e-04 3.761360e-03 3.184680e-03 -3.530640e-03 -1.260420e-02 -1.884744e-02 -1.750818e-02 -1.648568e-02 -1.750818e-02 -1.884744e-02 -1.260420e-02 -3.530640e-03 3.184680e-03 3.761360e-03 -1.368800e-04 -8.006400e-04 ; ... +-1.243400e-04 5.621600e-04 2.160540e-03 3.175780e-03 3.184680e-03 -1.777480e-03 -7.431700e-03 -9.056920e-03 -9.637220e-03 -9.056920e-03 -7.431700e-03 -1.777480e-03 3.184680e-03 3.175780e-03 2.160540e-03 5.621600e-04 -1.243400e-04 ; ... +-6.771400e-04 -5.814600e-04 1.460780e-03 2.160540e-03 3.761360e-03 3.080980e-03 4.112200e-03 2.221220e-03 5.538200e-04 2.221220e-03 4.112200e-03 3.080980e-03 3.761360e-03 2.160540e-03 1.460780e-03 -5.814600e-04 -6.771400e-04 ; ... +1.207800e-04 4.460600e-04 -5.814600e-04 5.621600e-04 -1.368800e-04 2.325540e-03 2.889860e-03 4.287280e-03 5.589400e-03 4.287280e-03 2.889860e-03 2.325540e-03 -1.368800e-04 5.621600e-04 -5.814600e-04 4.460600e-04 1.207800e-04 ; ... +-4.350000e-05 1.207800e-04 -6.771400e-04 -1.243400e-04 -8.006400e-04 -1.597040e-03 -2.516800e-04 -4.202000e-04 1.262000e-03 -4.202000e-04 -2.516800e-04 -1.597040e-03 -8.006400e-04 -1.243400e-04 -6.771400e-04 1.207800e-04 -4.350000e-05 ]; + +hi0filt = [... +-9.570000e-04 -2.424100e-04 -1.424720e-03 -8.742600e-04 -1.166810e-03 -8.742600e-04 -1.424720e-03 -2.424100e-04 -9.570000e-04 ; ... +-2.424100e-04 -4.317530e-03 8.998600e-04 9.156420e-03 1.098012e-02 9.156420e-03 8.998600e-04 -4.317530e-03 -2.424100e-04 ; ... +-1.424720e-03 8.998600e-04 1.706347e-02 1.094866e-02 -5.897780e-03 1.094866e-02 1.706347e-02 8.998600e-04 -1.424720e-03 ; ... +-8.742600e-04 9.156420e-03 1.094866e-02 -7.841370e-02 -1.562827e-01 -7.841370e-02 1.094866e-02 9.156420e-03 -8.742600e-04 ; ... +-1.166810e-03 1.098012e-02 -5.897780e-03 -1.562827e-01 7.282593e-01 -1.562827e-01 -5.897780e-03 1.098012e-02 -1.166810e-03 ; ... +-8.742600e-04 9.156420e-03 1.094866e-02 -7.841370e-02 -1.562827e-01 -7.841370e-02 1.094866e-02 9.156420e-03 -8.742600e-04 ; ... +-1.424720e-03 8.998600e-04 1.706347e-02 1.094866e-02 -5.897780e-03 1.094866e-02 1.706347e-02 8.998600e-04 -1.424720e-03 ; ... +-2.424100e-04 -4.317530e-03 8.998600e-04 9.156420e-03 1.098012e-02 9.156420e-03 8.998600e-04 -4.317530e-03 -2.424100e-04 ; ... +-9.570000e-04 -2.424100e-04 -1.424720e-03 -8.742600e-04 -1.166810e-03 -8.742600e-04 -1.424720e-03 -2.424100e-04 -9.570000e-04 ]; + +bfilts = -[ ... +6.125880e-03 -8.052600e-03 -2.103714e-02 -1.536890e-02 -1.851466e-02 -1.536890e-02 -2.103714e-02 -8.052600e-03 6.125880e-03 ... +-1.287416e-02 -9.611520e-03 1.023569e-02 6.009450e-03 1.872620e-03 6.009450e-03 1.023569e-02 -9.611520e-03 -1.287416e-02 ... +-5.641530e-03 4.168400e-03 -2.382180e-02 -5.375324e-02 -2.076086e-02 -5.375324e-02 -2.382180e-02 4.168400e-03 -5.641530e-03 ... +-8.957260e-03 -1.751170e-03 -1.836909e-02 1.265655e-01 2.996168e-01 1.265655e-01 -1.836909e-02 -1.751170e-03 -8.957260e-03 ... +0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 ... +8.957260e-03 1.751170e-03 1.836909e-02 -1.265655e-01 -2.996168e-01 -1.265655e-01 1.836909e-02 1.751170e-03 8.957260e-03 ... +5.641530e-03 -4.168400e-03 2.382180e-02 5.375324e-02 2.076086e-02 5.375324e-02 2.382180e-02 -4.168400e-03 5.641530e-03 ... +1.287416e-02 9.611520e-03 -1.023569e-02 -6.009450e-03 -1.872620e-03 -6.009450e-03 -1.023569e-02 9.611520e-03 1.287416e-02 ... +-6.125880e-03 8.052600e-03 2.103714e-02 1.536890e-02 1.851466e-02 1.536890e-02 2.103714e-02 8.052600e-03 -6.125880e-03; ... +... +-6.125880e-03 1.287416e-02 5.641530e-03 8.957260e-03 0.000000e+00 -8.957260e-03 -5.641530e-03 -1.287416e-02 6.125880e-03 ... +8.052600e-03 9.611520e-03 -4.168400e-03 1.751170e-03 0.000000e+00 -1.751170e-03 4.168400e-03 -9.611520e-03 -8.052600e-03 ... +2.103714e-02 -1.023569e-02 2.382180e-02 1.836909e-02 0.000000e+00 -1.836909e-02 -2.382180e-02 1.023569e-02 -2.103714e-02 ... +1.536890e-02 -6.009450e-03 5.375324e-02 -1.265655e-01 0.000000e+00 1.265655e-01 -5.375324e-02 6.009450e-03 -1.536890e-02 ... +1.851466e-02 -1.872620e-03 2.076086e-02 -2.996168e-01 0.000000e+00 2.996168e-01 -2.076086e-02 1.872620e-03 -1.851466e-02 ... +1.536890e-02 -6.009450e-03 5.375324e-02 -1.265655e-01 0.000000e+00 1.265655e-01 -5.375324e-02 6.009450e-03 -1.536890e-02 ... +2.103714e-02 -1.023569e-02 2.382180e-02 1.836909e-02 0.000000e+00 -1.836909e-02 -2.382180e-02 1.023569e-02 -2.103714e-02 ... +8.052600e-03 9.611520e-03 -4.168400e-03 1.751170e-03 0.000000e+00 -1.751170e-03 4.168400e-03 -9.611520e-03 -8.052600e-03 ... +-6.125880e-03 1.287416e-02 5.641530e-03 8.957260e-03 0.000000e+00 -8.957260e-03 -5.641530e-03 -1.287416e-02 6.125880e-03 ... +]'; + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/sp3Filters.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/sp3Filters.m new file mode 100644 index 0000000..c9cfaaf --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/sp3Filters.m @@ -0,0 +1,121 @@ +% Steerable pyramid filters. Transform described in: +% +% @INPROCEEDINGS{Simoncelli95b, +% TITLE = "The Steerable Pyramid: A Flexible Architecture for +% Multi-Scale Derivative Computation", +% AUTHOR = "E P Simoncelli and W T Freeman", +% BOOKTITLE = "Second Int'l Conf on Image Processing", +% ADDRESS = "Washington, DC", MONTH = "October", YEAR = 1995 } +% +% Filter kernel design described in: +% +%@INPROCEEDINGS{Karasaridis96, +% TITLE = "A Filter Design Technique for +% Steerable Pyramid Image Transforms", +% AUTHOR = "A Karasaridis and E P Simoncelli", +% BOOKTITLE = "ICASSP", ADDRESS = "Atlanta, GA", +% MONTH = "May", YEAR = 1996 } + +% Eero Simoncelli, 6/96. + +function [lo0filt,hi0filt,lofilt,bfilts,mtx,harmonics] = sp3Filters(); + +harmonics = [1 3]; + +mtx = [ ... + 0.5000 0.3536 0 -0.3536 + -0.0000 0.3536 0.5000 0.3536 + 0.5000 -0.3536 0 0.3536 + -0.0000 0.3536 -0.5000 0.3536]; + +hi0filt = [ +-4.0483998600E-4 -6.2596000498E-4 -3.7829999201E-5 8.8387000142E-4 1.5450799838E-3 1.9235999789E-3 2.0687500946E-3 2.0898699295E-3 2.0687500946E-3 1.9235999789E-3 1.5450799838E-3 8.8387000142E-4 -3.7829999201E-5 -6.2596000498E-4 -4.0483998600E-4 +-6.2596000498E-4 -3.2734998967E-4 7.7435001731E-4 1.5874400269E-3 2.1750701126E-3 2.5626500137E-3 2.2892199922E-3 1.9755100366E-3 2.2892199922E-3 2.5626500137E-3 2.1750701126E-3 1.5874400269E-3 7.7435001731E-4 -3.2734998967E-4 -6.2596000498E-4 +-3.7829999201E-5 7.7435001731E-4 1.1793200392E-3 1.4050999889E-3 2.2253401112E-3 2.1145299543E-3 3.3578000148E-4 -8.3368999185E-4 3.3578000148E-4 2.1145299543E-3 2.2253401112E-3 1.4050999889E-3 1.1793200392E-3 7.7435001731E-4 -3.7829999201E-5 +8.8387000142E-4 1.5874400269E-3 1.4050999889E-3 1.2960999738E-3 -4.9274001503E-4 -3.1295299996E-3 -4.5751798898E-3 -5.1014497876E-3 -4.5751798898E-3 -3.1295299996E-3 -4.9274001503E-4 1.2960999738E-3 1.4050999889E-3 1.5874400269E-3 8.8387000142E-4 +1.5450799838E-3 2.1750701126E-3 2.2253401112E-3 -4.9274001503E-4 -6.3222697936E-3 -2.7556000277E-3 5.3632198833E-3 7.3032598011E-3 5.3632198833E-3 -2.7556000277E-3 -6.3222697936E-3 -4.9274001503E-4 2.2253401112E-3 2.1750701126E-3 1.5450799838E-3 +1.9235999789E-3 2.5626500137E-3 2.1145299543E-3 -3.1295299996E-3 -2.7556000277E-3 1.3962360099E-2 7.8046298586E-3 -9.3812197447E-3 7.8046298586E-3 1.3962360099E-2 -2.7556000277E-3 -3.1295299996E-3 2.1145299543E-3 2.5626500137E-3 1.9235999789E-3 +2.0687500946E-3 2.2892199922E-3 3.3578000148E-4 -4.5751798898E-3 5.3632198833E-3 7.8046298586E-3 -7.9501636326E-2 -0.1554141641 -7.9501636326E-2 7.8046298586E-3 5.3632198833E-3 -4.5751798898E-3 3.3578000148E-4 2.2892199922E-3 2.0687500946E-3 +2.0898699295E-3 1.9755100366E-3 -8.3368999185E-4 -5.1014497876E-3 7.3032598011E-3 -9.3812197447E-3 -0.1554141641 0.7303866148 -0.1554141641 -9.3812197447E-3 7.3032598011E-3 -5.1014497876E-3 -8.3368999185E-4 1.9755100366E-3 2.0898699295E-3 +2.0687500946E-3 2.2892199922E-3 3.3578000148E-4 -4.5751798898E-3 5.3632198833E-3 7.8046298586E-3 -7.9501636326E-2 -0.1554141641 -7.9501636326E-2 7.8046298586E-3 5.3632198833E-3 -4.5751798898E-3 3.3578000148E-4 2.2892199922E-3 2.0687500946E-3 +1.9235999789E-3 2.5626500137E-3 2.1145299543E-3 -3.1295299996E-3 -2.7556000277E-3 1.3962360099E-2 7.8046298586E-3 -9.3812197447E-3 7.8046298586E-3 1.3962360099E-2 -2.7556000277E-3 -3.1295299996E-3 2.1145299543E-3 2.5626500137E-3 1.9235999789E-3 +1.5450799838E-3 2.1750701126E-3 2.2253401112E-3 -4.9274001503E-4 -6.3222697936E-3 -2.7556000277E-3 5.3632198833E-3 7.3032598011E-3 5.3632198833E-3 -2.7556000277E-3 -6.3222697936E-3 -4.9274001503E-4 2.2253401112E-3 2.1750701126E-3 1.5450799838E-3 +8.8387000142E-4 1.5874400269E-3 1.4050999889E-3 1.2960999738E-3 -4.9274001503E-4 -3.1295299996E-3 -4.5751798898E-3 -5.1014497876E-3 -4.5751798898E-3 -3.1295299996E-3 -4.9274001503E-4 1.2960999738E-3 1.4050999889E-3 1.5874400269E-3 8.8387000142E-4 +-3.7829999201E-5 7.7435001731E-4 1.1793200392E-3 1.4050999889E-3 2.2253401112E-3 2.1145299543E-3 3.3578000148E-4 -8.3368999185E-4 3.3578000148E-4 2.1145299543E-3 2.2253401112E-3 1.4050999889E-3 1.1793200392E-3 7.7435001731E-4 -3.7829999201E-5 +-6.2596000498E-4 -3.2734998967E-4 7.7435001731E-4 1.5874400269E-3 2.1750701126E-3 2.5626500137E-3 2.2892199922E-3 1.9755100366E-3 2.2892199922E-3 2.5626500137E-3 2.1750701126E-3 1.5874400269E-3 7.7435001731E-4 -3.2734998967E-4 -6.2596000498E-4 +-4.0483998600E-4 -6.2596000498E-4 -3.7829999201E-5 8.8387000142E-4 1.5450799838E-3 1.9235999789E-3 2.0687500946E-3 2.0898699295E-3 2.0687500946E-3 1.9235999789E-3 1.5450799838E-3 8.8387000142E-4 -3.7829999201E-5 -6.2596000498E-4 -4.0483998600E-4 +]; + +lo0filt = [ +-8.7009997515E-5 -1.3542800443E-3 -1.6012600390E-3 -5.0337001448E-4 2.5240099058E-3 -5.0337001448E-4 -1.6012600390E-3 -1.3542800443E-3 -8.7009997515E-5 +-1.3542800443E-3 2.9215801042E-3 7.5227199122E-3 8.2244202495E-3 1.1076199589E-3 8.2244202495E-3 7.5227199122E-3 2.9215801042E-3 -1.3542800443E-3 +-1.6012600390E-3 7.5227199122E-3 -7.0612900890E-3 -3.7694871426E-2 -3.2971370965E-2 -3.7694871426E-2 -7.0612900890E-3 7.5227199122E-3 -1.6012600390E-3 +-5.0337001448E-4 8.2244202495E-3 -3.7694871426E-2 4.3813198805E-2 0.1811603010 4.3813198805E-2 -3.7694871426E-2 8.2244202495E-3 -5.0337001448E-4 +2.5240099058E-3 1.1076199589E-3 -3.2971370965E-2 0.1811603010 0.4376249909 0.1811603010 -3.2971370965E-2 1.1076199589E-3 2.5240099058E-3 +-5.0337001448E-4 8.2244202495E-3 -3.7694871426E-2 4.3813198805E-2 0.1811603010 4.3813198805E-2 -3.7694871426E-2 8.2244202495E-3 -5.0337001448E-4 +-1.6012600390E-3 7.5227199122E-3 -7.0612900890E-3 -3.7694871426E-2 -3.2971370965E-2 -3.7694871426E-2 -7.0612900890E-3 7.5227199122E-3 -1.6012600390E-3 +-1.3542800443E-3 2.9215801042E-3 7.5227199122E-3 8.2244202495E-3 1.1076199589E-3 8.2244202495E-3 7.5227199122E-3 2.9215801042E-3 -1.3542800443E-3 +-8.7009997515E-5 -1.3542800443E-3 -1.6012600390E-3 -5.0337001448E-4 2.5240099058E-3 -5.0337001448E-4 -1.6012600390E-3 -1.3542800443E-3 -8.7009997515E-5 +]; + +lofilt = [ +-4.3500000174E-5 1.2078000145E-4 -6.7714002216E-4 -1.2434000382E-4 -8.0063997302E-4 -1.5970399836E-3 -2.5168000138E-4 -4.2019999819E-4 1.2619999470E-3 -4.2019999819E-4 -2.5168000138E-4 -1.5970399836E-3 -8.0063997302E-4 -1.2434000382E-4 -6.7714002216E-4 1.2078000145E-4 -4.3500000174E-5 +1.2078000145E-4 4.4606000301E-4 -5.8146001538E-4 5.6215998484E-4 -1.3688000035E-4 2.3255399428E-3 2.8898599558E-3 4.2872801423E-3 5.5893999524E-3 4.2872801423E-3 2.8898599558E-3 2.3255399428E-3 -1.3688000035E-4 5.6215998484E-4 -5.8146001538E-4 4.4606000301E-4 1.2078000145E-4 +-6.7714002216E-4 -5.8146001538E-4 1.4607800404E-3 2.1605400834E-3 3.7613599561E-3 3.0809799209E-3 4.1121998802E-3 2.2212199401E-3 5.5381999118E-4 2.2212199401E-3 4.1121998802E-3 3.0809799209E-3 3.7613599561E-3 2.1605400834E-3 1.4607800404E-3 -5.8146001538E-4 -6.7714002216E-4 +-1.2434000382E-4 5.6215998484E-4 2.1605400834E-3 3.1757799443E-3 3.1846798956E-3 -1.7774800071E-3 -7.4316998944E-3 -9.0569201857E-3 -9.6372198313E-3 -9.0569201857E-3 -7.4316998944E-3 -1.7774800071E-3 3.1846798956E-3 3.1757799443E-3 2.1605400834E-3 5.6215998484E-4 -1.2434000382E-4 +-8.0063997302E-4 -1.3688000035E-4 3.7613599561E-3 3.1846798956E-3 -3.5306399222E-3 -1.2604200281E-2 -1.8847439438E-2 -1.7508180812E-2 -1.6485679895E-2 -1.7508180812E-2 -1.8847439438E-2 -1.2604200281E-2 -3.5306399222E-3 3.1846798956E-3 3.7613599561E-3 -1.3688000035E-4 -8.0063997302E-4 +-1.5970399836E-3 2.3255399428E-3 3.0809799209E-3 -1.7774800071E-3 -1.2604200281E-2 -2.0229380578E-2 -1.1091699824E-2 3.9556599222E-3 1.4385120012E-2 3.9556599222E-3 -1.1091699824E-2 -2.0229380578E-2 -1.2604200281E-2 -1.7774800071E-3 3.0809799209E-3 2.3255399428E-3 -1.5970399836E-3 +-2.5168000138E-4 2.8898599558E-3 4.1121998802E-3 -7.4316998944E-3 -1.8847439438E-2 -1.1091699824E-2 2.1906599402E-2 6.8065837026E-2 9.0580143034E-2 6.8065837026E-2 2.1906599402E-2 -1.1091699824E-2 -1.8847439438E-2 -7.4316998944E-3 4.1121998802E-3 2.8898599558E-3 -2.5168000138E-4 +-4.2019999819E-4 4.2872801423E-3 2.2212199401E-3 -9.0569201857E-3 -1.7508180812E-2 3.9556599222E-3 6.8065837026E-2 0.1445499808 0.1773651242 0.1445499808 6.8065837026E-2 3.9556599222E-3 -1.7508180812E-2 -9.0569201857E-3 2.2212199401E-3 4.2872801423E-3 -4.2019999819E-4 +1.2619999470E-3 5.5893999524E-3 5.5381999118E-4 -9.6372198313E-3 -1.6485679895E-2 1.4385120012E-2 9.0580143034E-2 0.1773651242 0.2120374441 0.1773651242 9.0580143034E-2 1.4385120012E-2 -1.6485679895E-2 -9.6372198313E-3 5.5381999118E-4 5.5893999524E-3 1.2619999470E-3 +-4.2019999819E-4 4.2872801423E-3 2.2212199401E-3 -9.0569201857E-3 -1.7508180812E-2 3.9556599222E-3 6.8065837026E-2 0.1445499808 0.1773651242 0.1445499808 6.8065837026E-2 3.9556599222E-3 -1.7508180812E-2 -9.0569201857E-3 2.2212199401E-3 4.2872801423E-3 -4.2019999819E-4 +-2.5168000138E-4 2.8898599558E-3 4.1121998802E-3 -7.4316998944E-3 -1.8847439438E-2 -1.1091699824E-2 2.1906599402E-2 6.8065837026E-2 9.0580143034E-2 6.8065837026E-2 2.1906599402E-2 -1.1091699824E-2 -1.8847439438E-2 -7.4316998944E-3 4.1121998802E-3 2.8898599558E-3 -2.5168000138E-4 +-1.5970399836E-3 2.3255399428E-3 3.0809799209E-3 -1.7774800071E-3 -1.2604200281E-2 -2.0229380578E-2 -1.1091699824E-2 3.9556599222E-3 1.4385120012E-2 3.9556599222E-3 -1.1091699824E-2 -2.0229380578E-2 -1.2604200281E-2 -1.7774800071E-3 3.0809799209E-3 2.3255399428E-3 -1.5970399836E-3 +-8.0063997302E-4 -1.3688000035E-4 3.7613599561E-3 3.1846798956E-3 -3.5306399222E-3 -1.2604200281E-2 -1.8847439438E-2 -1.7508180812E-2 -1.6485679895E-2 -1.7508180812E-2 -1.8847439438E-2 -1.2604200281E-2 -3.5306399222E-3 3.1846798956E-3 3.7613599561E-3 -1.3688000035E-4 -8.0063997302E-4 +-1.2434000382E-4 5.6215998484E-4 2.1605400834E-3 3.1757799443E-3 3.1846798956E-3 -1.7774800071E-3 -7.4316998944E-3 -9.0569201857E-3 -9.6372198313E-3 -9.0569201857E-3 -7.4316998944E-3 -1.7774800071E-3 3.1846798956E-3 3.1757799443E-3 2.1605400834E-3 5.6215998484E-4 -1.2434000382E-4 +-6.7714002216E-4 -5.8146001538E-4 1.4607800404E-3 2.1605400834E-3 3.7613599561E-3 3.0809799209E-3 4.1121998802E-3 2.2212199401E-3 5.5381999118E-4 2.2212199401E-3 4.1121998802E-3 3.0809799209E-3 3.7613599561E-3 2.1605400834E-3 1.4607800404E-3 -5.8146001538E-4 -6.7714002216E-4 +1.2078000145E-4 4.4606000301E-4 -5.8146001538E-4 5.6215998484E-4 -1.3688000035E-4 2.3255399428E-3 2.8898599558E-3 4.2872801423E-3 5.5893999524E-3 4.2872801423E-3 2.8898599558E-3 2.3255399428E-3 -1.3688000035E-4 5.6215998484E-4 -5.8146001538E-4 4.4606000301E-4 1.2078000145E-4 +-4.3500000174E-5 1.2078000145E-4 -6.7714002216E-4 -1.2434000382E-4 -8.0063997302E-4 -1.5970399836E-3 -2.5168000138E-4 -4.2019999819E-4 1.2619999470E-3 -4.2019999819E-4 -2.5168000138E-4 -1.5970399836E-3 -8.0063997302E-4 -1.2434000382E-4 -6.7714002216E-4 1.2078000145E-4 -4.3500000174E-5 +]; + +bfilts = [... +-8.1125000725E-4 4.4451598078E-3 1.2316980399E-2 1.3955879956E-2 1.4179450460E-2 1.3955879956E-2 1.2316980399E-2 4.4451598078E-3 -8.1125000725E-4 ... +3.9103501476E-3 4.4565401040E-3 -5.8724298142E-3 -2.8760801069E-3 8.5267601535E-3 -2.8760801069E-3 -5.8724298142E-3 4.4565401040E-3 3.9103501476E-3 ... +1.3462699717E-3 -3.7740699481E-3 8.2581602037E-3 3.9442278445E-2 5.3605638444E-2 3.9442278445E-2 8.2581602037E-3 -3.7740699481E-3 1.3462699717E-3 ... +7.4700999539E-4 -3.6522001028E-4 -2.2522680461E-2 -0.1105690673 -0.1768419296 -0.1105690673 -2.2522680461E-2 -3.6522001028E-4 7.4700999539E-4 ... +0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000 ... +-7.4700999539E-4 3.6522001028E-4 2.2522680461E-2 0.1105690673 0.1768419296 0.1105690673 2.2522680461E-2 3.6522001028E-4 -7.4700999539E-4 ... +-1.3462699717E-3 3.7740699481E-3 -8.2581602037E-3 -3.9442278445E-2 -5.3605638444E-2 -3.9442278445E-2 -8.2581602037E-3 3.7740699481E-3 -1.3462699717E-3 ... +-3.9103501476E-3 -4.4565401040E-3 5.8724298142E-3 2.8760801069E-3 -8.5267601535E-3 2.8760801069E-3 5.8724298142E-3 -4.4565401040E-3 -3.9103501476E-3 ... +8.1125000725E-4 -4.4451598078E-3 -1.2316980399E-2 -1.3955879956E-2 -1.4179450460E-2 -1.3955879956E-2 -1.2316980399E-2 -4.4451598078E-3 8.1125000725E-4; ... +... +0.0000000000 -8.2846998703E-4 -5.7109999034E-5 4.0110000555E-5 4.6670897864E-3 8.0871898681E-3 1.4807609841E-2 8.6204400286E-3 -3.1221499667E-3 ... +8.2846998703E-4 0.0000000000 -9.7479997203E-4 -6.9718998857E-3 -2.0865600090E-3 2.3298799060E-3 -4.4814897701E-3 1.4917500317E-2 8.6204400286E-3 ... +5.7109999034E-5 9.7479997203E-4 0.0000000000 -1.2145539746E-2 -2.4427289143E-2 5.0797060132E-2 3.2785870135E-2 -4.4814897701E-3 1.4807609841E-2 ... +-4.0110000555E-5 6.9718998857E-3 1.2145539746E-2 0.0000000000 -0.1510555595 -8.2495503128E-2 5.0797060132E-2 2.3298799060E-3 8.0871898681E-3 ... +-4.6670897864E-3 2.0865600090E-3 2.4427289143E-2 0.1510555595 0.0000000000 -0.1510555595 -2.4427289143E-2 -2.0865600090E-3 4.6670897864E-3 ... +-8.0871898681E-3 -2.3298799060E-3 -5.0797060132E-2 8.2495503128E-2 0.1510555595 0.0000000000 -1.2145539746E-2 -6.9718998857E-3 4.0110000555E-5 ... +-1.4807609841E-2 4.4814897701E-3 -3.2785870135E-2 -5.0797060132E-2 2.4427289143E-2 1.2145539746E-2 0.0000000000 -9.7479997203E-4 -5.7109999034E-5 ... +-8.6204400286E-3 -1.4917500317E-2 4.4814897701E-3 -2.3298799060E-3 2.0865600090E-3 6.9718998857E-3 9.7479997203E-4 0.0000000000 -8.2846998703E-4 ... +3.1221499667E-3 -8.6204400286E-3 -1.4807609841E-2 -8.0871898681E-3 -4.6670897864E-3 -4.0110000555E-5 5.7109999034E-5 8.2846998703E-4 0.0000000000; ... +... +8.1125000725E-4 -3.9103501476E-3 -1.3462699717E-3 -7.4700999539E-4 0.0000000000 7.4700999539E-4 1.3462699717E-3 3.9103501476E-3 -8.1125000725E-4 ... +-4.4451598078E-3 -4.4565401040E-3 3.7740699481E-3 3.6522001028E-4 0.0000000000 -3.6522001028E-4 -3.7740699481E-3 4.4565401040E-3 4.4451598078E-3 ... +-1.2316980399E-2 5.8724298142E-3 -8.2581602037E-3 2.2522680461E-2 0.0000000000 -2.2522680461E-2 8.2581602037E-3 -5.8724298142E-3 1.2316980399E-2 ... +-1.3955879956E-2 2.8760801069E-3 -3.9442278445E-2 0.1105690673 0.0000000000 -0.1105690673 3.9442278445E-2 -2.8760801069E-3 1.3955879956E-2 ... +-1.4179450460E-2 -8.5267601535E-3 -5.3605638444E-2 0.1768419296 0.0000000000 -0.1768419296 5.3605638444E-2 8.5267601535E-3 1.4179450460E-2 ... +-1.3955879956E-2 2.8760801069E-3 -3.9442278445E-2 0.1105690673 0.0000000000 -0.1105690673 3.9442278445E-2 -2.8760801069E-3 1.3955879956E-2 ... +-1.2316980399E-2 5.8724298142E-3 -8.2581602037E-3 2.2522680461E-2 0.0000000000 -2.2522680461E-2 8.2581602037E-3 -5.8724298142E-3 1.2316980399E-2 ... +-4.4451598078E-3 -4.4565401040E-3 3.7740699481E-3 3.6522001028E-4 0.0000000000 -3.6522001028E-4 -3.7740699481E-3 4.4565401040E-3 4.4451598078E-3 ... +8.1125000725E-4 -3.9103501476E-3 -1.3462699717E-3 -7.4700999539E-4 0.0000000000 7.4700999539E-4 1.3462699717E-3 3.9103501476E-3 -8.1125000725E-4; ... +... +3.1221499667E-3 -8.6204400286E-3 -1.4807609841E-2 -8.0871898681E-3 -4.6670897864E-3 -4.0110000555E-5 5.7109999034E-5 8.2846998703E-4 0.0000000000 ... +-8.6204400286E-3 -1.4917500317E-2 4.4814897701E-3 -2.3298799060E-3 2.0865600090E-3 6.9718998857E-3 9.7479997203E-4 -0.0000000000 -8.2846998703E-4 ... +-1.4807609841E-2 4.4814897701E-3 -3.2785870135E-2 -5.0797060132E-2 2.4427289143E-2 1.2145539746E-2 0.0000000000 -9.7479997203E-4 -5.7109999034E-5 ... +-8.0871898681E-3 -2.3298799060E-3 -5.0797060132E-2 8.2495503128E-2 0.1510555595 -0.0000000000 -1.2145539746E-2 -6.9718998857E-3 4.0110000555E-5 ... +-4.6670897864E-3 2.0865600090E-3 2.4427289143E-2 0.1510555595 0.0000000000 -0.1510555595 -2.4427289143E-2 -2.0865600090E-3 4.6670897864E-3 ... +-4.0110000555E-5 6.9718998857E-3 1.2145539746E-2 0.0000000000 -0.1510555595 -8.2495503128E-2 5.0797060132E-2 2.3298799060E-3 8.0871898681E-3 ... +5.7109999034E-5 9.7479997203E-4 -0.0000000000 -1.2145539746E-2 -2.4427289143E-2 5.0797060132E-2 3.2785870135E-2 -4.4814897701E-3 1.4807609841E-2 ... +8.2846998703E-4 -0.0000000000 -9.7479997203E-4 -6.9718998857E-3 -2.0865600090E-3 2.3298799060E-3 -4.4814897701E-3 1.4917500317E-2 8.6204400286E-3 ... +0.0000000000 -8.2846998703E-4 -5.7109999034E-5 4.0110000555E-5 4.6670897864E-3 8.0871898681E-3 1.4807609841E-2 8.6204400286E-3 -3.1221499667E-3 ... +]'; diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/sp5Filters.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/sp5Filters.m new file mode 100644 index 0000000..4cddcfd --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/sp5Filters.m @@ -0,0 +1,110 @@ +% Steerable pyramid filters. Transform described in: +% +% @INPROCEEDINGS{Simoncelli95b, +% TITLE = "The Steerable Pyramid: A Flexible Architecture for +% Multi-Scale Derivative Computation", +% AUTHOR = "E P Simoncelli and W T Freeman", +% BOOKTITLE = "Second Int'l Conf on Image Processing", +% ADDRESS = "Washington, DC", MONTH = "October", YEAR = 1995 } +% +% Filter kernel design described in: +% +%@INPROCEEDINGS{Karasaridis96, +% TITLE = "A Filter Design Technique for +% Steerable Pyramid Image Transforms", +% AUTHOR = "A Karasaridis and E P Simoncelli", +% BOOKTITLE = "ICASSP", ADDRESS = "Atlanta, GA", +% MONTH = "May", YEAR = 1996 } + +% Eero Simoncelli, 6/96. + +function [lo0filt,hi0filt,lofilt,bfilts,mtx,harmonics] = sp5Filters(); + +harmonics = [1 3 5]; + +mtx = [ ... + 0.3333 0.2887 0.1667 0.0000 -0.1667 -0.2887 + 0.0000 0.1667 0.2887 0.3333 0.2887 0.1667 + 0.3333 -0.0000 -0.3333 -0.0000 0.3333 -0.0000 + 0.0000 0.3333 0.0000 -0.3333 0.0000 0.3333 + 0.3333 -0.2887 0.1667 -0.0000 -0.1667 0.2887 + -0.0000 0.1667 -0.2887 0.3333 -0.2887 0.1667]; + +hi0filt = [ +-0.00033429 -0.00113093 -0.00171484 -0.00133542 -0.00080639 -0.00133542 -0.00171484 -0.00113093 -0.00033429 +-0.00113093 -0.00350017 -0.00243812 0.00631653 0.01261227 0.00631653 -0.00243812 -0.00350017 -0.00113093 +-0.00171484 -0.00243812 -0.00290081 -0.00673482 -0.00981051 -0.00673482 -0.00290081 -0.00243812 -0.00171484 +-0.00133542 0.00631653 -0.00673482 -0.07027679 -0.11435863 -0.07027679 -0.00673482 0.00631653 -0.00133542 +-0.00080639 0.01261227 -0.00981051 -0.11435863 0.81380200 -0.11435863 -0.00981051 0.01261227 -0.00080639 +-0.00133542 0.00631653 -0.00673482 -0.07027679 -0.11435863 -0.07027679 -0.00673482 0.00631653 -0.00133542 +-0.00171484 -0.00243812 -0.00290081 -0.00673482 -0.00981051 -0.00673482 -0.00290081 -0.00243812 -0.00171484 +-0.00113093 -0.00350017 -0.00243812 0.00631653 0.01261227 0.00631653 -0.00243812 -0.00350017 -0.00113093 +-0.00033429 -0.00113093 -0.00171484 -0.00133542 -0.00080639 -0.00133542 -0.00171484 -0.00113093 -0.00033429]; + + +lo0filt = [ +0.00341614 -0.01551246 -0.03848215 -0.01551246 0.00341614 +-0.01551246 0.05586982 0.15925570 0.05586982 -0.01551246 +-0.03848215 0.15925570 0.40304148 0.15925570 -0.03848215 +-0.01551246 0.05586982 0.15925570 0.05586982 -0.01551246 +0.00341614 -0.01551246 -0.03848215 -0.01551246 0.00341614]; + +lofilt = 2*[ +0.00085404 -0.00244917 -0.00387812 -0.00944432 -0.00962054 -0.00944432 -0.00387812 -0.00244917 0.00085404 +-0.00244917 -0.00523281 -0.00661117 0.00410600 0.01002988 0.00410600 -0.00661117 -0.00523281 -0.00244917 +-0.00387812 -0.00661117 0.01396746 0.03277038 0.03981393 0.03277038 0.01396746 -0.00661117 -0.00387812 +-0.00944432 0.00410600 0.03277038 0.06426333 0.08169618 0.06426333 0.03277038 0.00410600 -0.00944432 +-0.00962054 0.01002988 0.03981393 0.08169618 0.10096540 0.08169618 0.03981393 0.01002988 -0.00962054 +-0.00944432 0.00410600 0.03277038 0.06426333 0.08169618 0.06426333 0.03277038 0.00410600 -0.00944432 +-0.00387812 -0.00661117 0.01396746 0.03277038 0.03981393 0.03277038 0.01396746 -0.00661117 -0.00387812 +-0.00244917 -0.00523281 -0.00661117 0.00410600 0.01002988 0.00410600 -0.00661117 -0.00523281 -0.00244917 +0.00085404 -0.00244917 -0.00387812 -0.00944432 -0.00962054 -0.00944432 -0.00387812 -0.00244917 0.00085404]; + +bfilts = [... + 0.00277643 0.00496194 0.01026699 0.01455399 0.01026699 0.00496194 0.00277643 ... +-0.00986904 -0.00893064 0.01189859 0.02755155 0.01189859 -0.00893064 -0.00986904 ... +-0.01021852 -0.03075356 -0.08226445 -0.11732297 -0.08226445 -0.03075356 -0.01021852 ... + 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 ... + 0.01021852 0.03075356 0.08226445 0.11732297 0.08226445 0.03075356 0.01021852 ... + 0.00986904 0.00893064 -0.01189859 -0.02755155 -0.01189859 0.00893064 0.00986904 ... +-0.00277643 -0.00496194 -0.01026699 -0.01455399 -0.01026699 -0.00496194 -0.00277643; +... +-0.00343249 -0.00640815 -0.00073141 0.01124321 0.00182078 0.00285723 0.01166982 ... +-0.00358461 -0.01977507 -0.04084211 -0.00228219 0.03930573 0.01161195 0.00128000 ... + 0.01047717 0.01486305 -0.04819057 -0.12227230 -0.05394139 0.00853965 -0.00459034 ... + 0.00790407 0.04435647 0.09454202 -0.00000000 -0.09454202 -0.04435647 -0.00790407 ... + 0.00459034 -0.00853965 0.05394139 0.12227230 0.04819057 -0.01486305 -0.01047717 ... +-0.00128000 -0.01161195 -0.03930573 0.00228219 0.04084211 0.01977507 0.00358461 ... +-0.01166982 -0.00285723 -0.00182078 -0.01124321 0.00073141 0.00640815 0.00343249; +... + 0.00343249 0.00358461 -0.01047717 -0.00790407 -0.00459034 0.00128000 0.01166982 ... + 0.00640815 0.01977507 -0.01486305 -0.04435647 0.00853965 0.01161195 0.00285723 ... + 0.00073141 0.04084211 0.04819057 -0.09454202 -0.05394139 0.03930573 0.00182078 ... +-0.01124321 0.00228219 0.12227230 -0.00000000 -0.12227230 -0.00228219 0.01124321 ... +-0.00182078 -0.03930573 0.05394139 0.09454202 -0.04819057 -0.04084211 -0.00073141 ... +-0.00285723 -0.01161195 -0.00853965 0.04435647 0.01486305 -0.01977507 -0.00640815 ... +-0.01166982 -0.00128000 0.00459034 0.00790407 0.01047717 -0.00358461 -0.00343249; +... +-0.00277643 0.00986904 0.01021852 -0.00000000 -0.01021852 -0.00986904 0.00277643 ... +-0.00496194 0.00893064 0.03075356 -0.00000000 -0.03075356 -0.00893064 0.00496194 ... +-0.01026699 -0.01189859 0.08226445 -0.00000000 -0.08226445 0.01189859 0.01026699 ... +-0.01455399 -0.02755155 0.11732297 -0.00000000 -0.11732297 0.02755155 0.01455399 ... +-0.01026699 -0.01189859 0.08226445 -0.00000000 -0.08226445 0.01189859 0.01026699 ... +-0.00496194 0.00893064 0.03075356 -0.00000000 -0.03075356 -0.00893064 0.00496194 ... +-0.00277643 0.00986904 0.01021852 -0.00000000 -0.01021852 -0.00986904 0.00277643; +... +-0.01166982 -0.00128000 0.00459034 0.00790407 0.01047717 -0.00358461 -0.00343249 ... +-0.00285723 -0.01161195 -0.00853965 0.04435647 0.01486305 -0.01977507 -0.00640815 ... +-0.00182078 -0.03930573 0.05394139 0.09454202 -0.04819057 -0.04084211 -0.00073141 ... +-0.01124321 0.00228219 0.12227230 -0.00000000 -0.12227230 -0.00228219 0.01124321 ... + 0.00073141 0.04084211 0.04819057 -0.09454202 -0.05394139 0.03930573 0.00182078 ... + 0.00640815 0.01977507 -0.01486305 -0.04435647 0.00853965 0.01161195 0.00285723 ... + 0.00343249 0.00358461 -0.01047717 -0.00790407 -0.00459034 0.00128000 0.01166982; +... +-0.01166982 -0.00285723 -0.00182078 -0.01124321 0.00073141 0.00640815 0.00343249 ... +-0.00128000 -0.01161195 -0.03930573 0.00228219 0.04084211 0.01977507 0.00358461 ... + 0.00459034 -0.00853965 0.05394139 0.12227230 0.04819057 -0.01486305 -0.01047717 ... + 0.00790407 0.04435647 0.09454202 -0.00000000 -0.09454202 -0.04435647 -0.00790407 ... + 0.01047717 0.01486305 -0.04819057 -0.12227230 -0.05394139 0.00853965 -0.00459034 ... +-0.00358461 -0.01977507 -0.04084211 -0.00228219 0.03930573 0.01161195 0.00128000 ... +-0.00343249 -0.00640815 -0.00073141 0.01124321 0.00182078 0.00285723 0.01166982]'; diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/spyrBand.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/spyrBand.m new file mode 100644 index 0000000..474a8dc --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/spyrBand.m @@ -0,0 +1,34 @@ +% [LEV,IND] = spyrBand(PYR,INDICES,LEVEL,BAND) +% +% Access a band from a steerable pyramid. +% +% LEVEL indicates the scale (finest = 1, coarsest = spyrHt(INDICES)). +% +% BAND (optional, default=1) indicates which subband +% (1 = vertical, rest proceeding anti-clockwise). + +% Eero Simoncelli, 6/96. + +function res = spyrBand(pyr,pind,level,band) + +if (exist('level') ~= 1) + level = 1; +end + +if (exist('band') ~= 1) + band = 1; +end + +nbands = spyrNumBands(pind); +if ((band > nbands) | (band < 1)) + error(sprintf('Bad band number (%d) should be in range [1,%d].', band, nbands)); +end + +maxLev = spyrHt(pind); +if ((level > maxLev) | (level < 1)) + error(sprintf('Bad level number (%d), should be in range [1,%d].', level, maxLev)); +end + +firstband = 1 + band + nbands*(level-1); +res = pyrBand(pyr, pind, firstband); + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/spyrHigh.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/spyrHigh.m new file mode 100644 index 0000000..f91b466 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/spyrHigh.m @@ -0,0 +1,10 @@ +% RES = spyrHigh(PYR, INDICES) +% +% Access the highpass residual band from a steerable pyramid. + +% Eero Simoncelli, 6/96. + +function res = spyrHigh(pyr,pind) + +res = pyrBand(pyr, pind, 1); + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/spyrHt.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/spyrHt.m new file mode 100644 index 0000000..8706b9e --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/spyrHt.m @@ -0,0 +1,16 @@ +% [HEIGHT] = spyrHt(INDICES) +% +% Compute height of steerable pyramid with given index matrix. + +% Eero Simoncelli, 6/96. + +function [ht] = spyrHt(pind) + +nbands = spyrNumBands(pind); + +% Don't count lowpass, or highpass residual bands +if (size(pind,1) > 2) + ht = (size(pind,1)-2)/nbands; +else + ht = 0; +end diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/spyrLev.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/spyrLev.m new file mode 100644 index 0000000..5cb4a85 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/spyrLev.m @@ -0,0 +1,24 @@ +% [LEV,IND] = spyrLev(PYR,INDICES,LEVEL) +% +% Access a level from a steerable pyramid. +% Return as an SxB matrix, B = number of bands, S = total size of a band. +% Also returns an Bx2 matrix containing dimensions of the subbands. + +% Eero Simoncelli, 6/96. + +function [lev,ind] = spyrLev(pyr,pind,level) + +nbands = spyrNumBands(pind); + +if ((level > spyrHt(pind)) | (level < 1)) + error(sprintf('Level number must be in the range [1, %d].', spyrHt(pind))); +end + +firstband = 2 + nbands*(level-1); +firstind = 1; +for l=1:firstband-1 + firstind = firstind + prod(pind(l,:)); +end + +ind = pind(firstband:firstband+nbands-1,:); +lev = pyr(firstind:firstind+sum(prod(ind'))-1); diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/spyrNumBands.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/spyrNumBands.m new file mode 100644 index 0000000..68aec3f --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/spyrNumBands.m @@ -0,0 +1,20 @@ +% [NBANDS] = spyrNumBands(INDICES) +% +% Compute number of orientation bands in a steerable pyramid with +% given index matrix. If the pyramid contains only the highpass and +% lowpass bands (i.e., zero levels), returns 0. + +% Eero Simoncelli, 2/97. + +function [nbands] = spyrNumBands(pind) + +if (size(pind,1) == 2) + nbands = 0; +else + % Count number of orientation bands: + b = 3; + while ((b <= size(pind,1)) & all( pind(b,:) == pind(2,:)) ) + b = b+1; + end + nbands = b-2; +end diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/steer.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/steer.m new file mode 100644 index 0000000..8f9c2ac --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/steer.m @@ -0,0 +1,68 @@ +% RES = STEER(BASIS, ANGLE, HARMONICS, STEERMTX) +% +% Steer BASIS to the specfied ANGLE. +% +% BASIS should be a matrix whose columns are vectorized rotated copies of a +% steerable function, or the responses of a set of steerable filters. +% +% ANGLE can be a scalar, or a column vector the size of the basis. +% +% HARMONICS (optional, default is N even or odd low frequencies, as for +% derivative filters) should be a list of harmonic numbers indicating +% the angular harmonic content of the basis. +% +% STEERMTX (optional, default assumes cosine phase harmonic components, +% and filter positions at 2pi*n/N) should be a matrix which maps +% the filters onto Fourier series components (ordered [cos0 cos1 sin1 +% cos2 sin2 ... sinN]). See steer2HarmMtx.m + +% Eero Simoncelli, 7/96. + +function res = steer(basis,angle,harmonics,steermtx) + +num = size(basis,2); + +if ( any(size(angle) ~= [size(basis,1) 1]) & any(size(angle) ~= [1 1]) ) + error('ANGLE must be a scalar, or a column vector the size of the basis elements'); +end + +%% If HARMONICS are not passed, assume derivatives. +if (exist('harmonics') ~= 1) + if (mod(num,2) == 0) + harmonics = [0:(num/2)-1]'*2 + 1; + else + harmonics = [0:(num-1)/2]'*2; + end +else + harmonics = harmonics(:); + if ((2*size(harmonics,1)-any(harmonics == 0)) ~= num) + error('harmonics list is incompatible with basis size'); + end +end + +%% If STEERMTX not passed, assume evenly distributed cosine-phase filters: +if (exist('steermtx') ~= 1) + steermtx = steer2HarmMtx(harmonics, pi*[0:num-1]/num, 'even'); +end + +steervect = zeros(size(angle,1),num); +arg = angle * harmonics(find(harmonics~=0))'; +if (all(harmonics)) + steervect(:, 1:2:num) = cos(arg); + steervect(:, 2:2:num) = sin(arg); +else + steervect(:, 1) = ones(size(arg,1),1); + steervect(:, 2:2:num) = cos(arg); + steervect(:, 3:2:num) = sin(arg); +end + +steervect = steervect * steermtx; + +if (size(steervect,1) > 1) + tmp = basis' .* steervect'; + res = sum(tmp)'; +else + res = basis * steervect'; +end + + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/steer2HarmMtx.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/steer2HarmMtx.m new file mode 100644 index 0000000..1f3e80e --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/steer2HarmMtx.m @@ -0,0 +1,71 @@ +% MTX = steer2HarmMtx(HARMONICS, ANGLES, REL_PHASES) +% +% Compute a steering matrix (maps a directional basis set onto the +% angular Fourier harmonics). HARMONICS is a vector specifying the +% angular harmonics contained in the steerable basis/filters. ANGLES +% (optional) is a vector specifying the angular position of each filter. +% REL_PHASES (optional, default = 'even') specifies whether the harmonics +% are cosine or sine phase aligned about those positions. +% The result matrix is suitable for passing to the function STEER. + +% Eero Simoncelli, 7/96. + +function mtx = steer2HarmMtx(harmonics, angles, evenorodd) + +%%================================================================= +%%% Optional Parameters: + +if (exist('evenorodd') ~= 1) + evenorodd = 'even'; +end + +% Make HARMONICS a row vector +harmonics = harmonics(:)'; + +numh = 2*size(harmonics,2) - any(harmonics == 0); + +if (exist('angles') ~= 1) + angles = pi * [0:numh-1]'/numh; +else + angles = angles(:); +end + +%%================================================================= + +if isstr(evenorodd) + if strcmp(evenorodd,'even') + evenorodd = 0; + elseif strcmp(evenorodd,'odd') + evenorodd = 1; + else + error('EVEN_OR_ODD should be the string EVEN or ODD'); + end +end + +%% Compute inverse matrix, which maps Fourier components onto +%% steerable basis. +imtx = zeros(size(angles,1),numh); +col = 1; +for h=harmonics + args = h*angles; + if (h == 0) + imtx(:,col) = ones(size(angles)); + col = col+1; + elseif evenorodd + imtx(:,col) = sin(args); + imtx(:,col+1) = -cos(args); + col = col+2; + else + imtx(:,col) = cos(args); + imtx(:,col+1) = sin(args); + col = col+2; + end +end + +r = rank(imtx); +if (( r ~= numh ) & ( r ~= size(angles,1) )) + fprintf(2,'WARNING: matrix is not full rank'); +end + +mtx = pinv(imtx); + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/subMtx.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/subMtx.m new file mode 100644 index 0000000..ea3c2ea --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/subMtx.m @@ -0,0 +1,21 @@ +% MTX = subMtx(VEC, DIMENSIONS, START_INDEX) +% +% Reshape a portion of VEC starting from START_INDEX (optional, +% default=1) to the given dimensions. + +% Eero Simoncelli, 6/96. + +function mtx = subMtx(vec, sz, offset) + +if (exist('offset') ~= 1) + offset = 1; +end + +vec = vec(:); +sz = sz(:); + +if (size(sz,1) ~= 2) + error('DIMENSIONS must be a 2-vector.'); +end + +mtx = reshape( vec(offset:offset+prod(sz)-1), sz(1), sz(2) ); diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/upBlur.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/upBlur.m new file mode 100644 index 0000000..948c2e1 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/upBlur.m @@ -0,0 +1,52 @@ +% RES = upBlur(IM, LEVELS, FILT) +% +% Upsample and blur an image. The blurring is done with filter +% kernel specified by FILT (default = 'binom5'), which can be a string +% (to be passed to namedFilter), a vector (applied separably as a 1D +% convolution kernel in X and Y), or a matrix (applied as a 2D +% convolution kernel). The downsampling is always by 2 in each +% direction. +% +% The procedure is applied recursively LEVELS times (default=1). + +% Eero Simoncelli, 4/97. + +function res = upBlur(im, nlevs, filt) + +%------------------------------------------------------------ +%% OPTIONAL ARGS: + +if (exist('nlevs') ~= 1) + nlevs = 1; +end + +if (exist('filt') ~= 1) + filt = 'binom5'; +end + +%------------------------------------------------------------ + +if isstr(filt) + filt = namedFilter(filt); +end + +if nlevs > 1 + im = upBlur(im,nlevs-1,filt); +end + +if (nlevs >= 1) + if (any(size(im)==1)) + if (size(im,1)==1) + filt = filt'; + end + res = upConv(im,filt,'reflect1',(size(im)~=1)+1); + elseif (any(size(filt)==1)) + filt = filt(:); + res = upConv(im,filt,'reflect1',[2 1]); + res = upConv(res,filt','reflect1',[1 2]); + else + res = upConv(im,filt,'reflect1',[2 2]); + end +else + res = im; +end diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/upConv.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/upConv.m new file mode 100644 index 0000000..4d1ffd9 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/upConv.m @@ -0,0 +1,80 @@ +% RES = upConv(IM, FILT, EDGES, STEP, START, STOP, RES) +% +% Upsample matrix IM, followed by convolution with matrix FILT. These +% arguments should be 1D or 2D matrices, and IM must be larger (in +% both dimensions) than FILT. The origin of filt +% is assumed to be floor(size(filt)/2)+1. +% +% EDGES is a string determining boundary handling: +% 'circular' - Circular convolution +% 'reflect1' - Reflect about the edge pixels +% 'reflect2' - Reflect, doubling the edge pixels +% 'repeat' - Repeat the edge pixels +% 'zero' - Assume values of zero outside image boundary +% 'extend' - Reflect and invert +% 'dont-compute' - Zero output when filter overhangs OUTPUT boundaries +% +% Upsampling factors are determined by STEP (optional, default=[1 1]), +% a 2-vector [y,x]. +% +% The window over which the convolution occurs is specfied by START +% (optional, default=[1,1], and STOP (optional, default = +% step .* (size(IM) + floor((start-1)./step))). +% +% RES is an optional result matrix. The convolution result will be +% destructively added into this matrix. If this argument is passed, the +% result matrix will not be returned. DO NOT USE THIS ARGUMENT IF +% YOU DO NOT UNDERSTAND WHAT THIS MEANS!! +% +% NOTE: this operation corresponds to multiplication of a signal +% vector by a matrix whose columns contain copies of the time-reversed +% (or space-reversed) FILT shifted by multiples of STEP. See corrDn.m +% for the operation corresponding to the transpose of this matrix. + +% Eero Simoncelli, 6/96. revised 2/97. + +function result = upConv(im,filt,edges,step,start,stop,res) + +%% THIS CODE IS NOT ACTUALLY USED! (MEX FILE IS CALLED INSTEAD) + +fprintf(1,'WARNING: You should compile the MEX version of "upConv.c",\n found in the MEX subdirectory of matlabPyrTools, and put it in your matlab path. It is MUCH faster, and provides more boundary-handling options.\n'); + +%------------------------------------------------------------ +%% OPTIONAL ARGS: + +if (exist('edges') == 1) + if (strcmp(edges,'reflect1') ~= 1) + warning('Using REFLECT1 edge-handling (use MEX code for other options).'); + end +end + +if (exist('step') ~= 1) + step = [1,1]; +end + +if (exist('start') ~= 1) + start = [1,1]; +end + +% A multiple of step +if (exist('stop') ~= 1) + stop = step .* (floor((start-ones(size(start)))./step)+size(im)) +end + +if ( ceil((stop(1)+1-start(1)) / step(1)) ~= size(im,1) ) + error('Bad Y result dimension'); +end +if ( ceil((stop(2)+1-start(2)) / step(2)) ~= size(im,2) ) + error('Bad X result dimension'); +end + +if (exist('res') ~= 1) + res = zeros(stop-start+1); +end + +%------------------------------------------------------------ + +tmp = zeros(size(res)); +tmp(start(1):step(1):stop(1),start(2):step(2):stop(2)) = im; + +result = rconv2(tmp,filt) + res; diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/var2.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/var2.m new file mode 100644 index 0000000..6957eff --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/var2.m @@ -0,0 +1,17 @@ +% V = VAR2(MTX,MEAN) +% +% Sample variance of a matrix. +% Passing MEAN (optional) makes the calculation faster. + +function res = var2(mtx, mn) + +if (exist('mn') ~= 1) + mn = mean2(mtx); +end + +if (isreal(mtx)) + res = sum(sum(abs(mtx-mn).^2)) / max((prod(size(mtx)) - 1),1); +else + res = sum(sum(real(mtx-mn).^2)) + i*sum(sum(imag(mtx-mn).^2)); + res = res / max((prod(size(mtx)) - 1),1); +end diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/vectify.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/vectify.m new file mode 100644 index 0000000..3664223 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/vectify.m @@ -0,0 +1,8 @@ +% [VEC] = columnize(MTX) +% +% Pack elements of MTX into a column vector. Just provides a +% function-call notatoin for the operation MTX(:) + +function vec = columnize(mtx) + +vec = mtx(:); diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/wpyrBand.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/wpyrBand.m new file mode 100644 index 0000000..c027cca --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/wpyrBand.m @@ -0,0 +1,39 @@ +% RES = wpyrBand(PYR, INDICES, LEVEL, BAND) +% +% Access a subband from a separable QMF/wavelet pyramid. +% +% LEVEL (optional, default=1) indicates the scale (finest = 1, +% coarsest = wpyrHt(INDICES)). +% +% BAND (optional, default=1) indicates which subband (1=horizontal, +% 2=vertical, 3=diagonal). + +% Eero Simoncelli, 6/96. + +function im = wpyrBand(pyr,pind,level,band) + +if (exist('level') ~= 1) + level = 1; +end + +if (exist('band') ~= 1) + band = 1; +end + +if ((pind(1,1) == 1) | (pind(1,2) ==1)) + nbands = 1; +else + nbands = 3; +end + +if ((band > nbands) | (band < 1)) + error(sprintf('Bad band number (%d) should be in range [1,%d].', band, nbands)); +end + +maxLev = wpyrHt(pind); +if ((level > maxLev) | (level < 1)) + error(sprintf('Bad level number (%d), should be in range [1,%d].', level, maxLev)); +end + +band = band + nbands*(level-1); +im = pyrBand(pyr,pind,band); diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/wpyrHt.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/wpyrHt.m new file mode 100644 index 0000000..476be83 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/wpyrHt.m @@ -0,0 +1,15 @@ +% [HEIGHT] = wpyrHt(INDICES) +% +% Compute height of separable QMF/wavelet pyramid with given index matrix. + +% Eero Simoncelli, 6/96. + +function [ht] = wpyrHt(pind) + +if ((pind(1,1) == 1) | (pind(1,2) ==1)) + nbands = 1; +else + nbands = 3; +end + +ht = (size(pind,1)-1)/nbands; diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/wpyrLev.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/wpyrLev.m new file mode 100644 index 0000000..18f30ae --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/wpyrLev.m @@ -0,0 +1,30 @@ +% [LEV,IND] = wpyrLev(PYR,INDICES,LEVEL) +% +% Access a level from a separable QMF/wavelet pyramid. +% Return as an SxB matrix, B = number of bands, S = total size of a band. +% Also returns an Bx2 matrix containing dimensions of the subbands. + +% Eero Simoncelli, 6/96. + +function [lev,ind] = wpyrLev(pyr,pind,level) + +if ((pind(1,1) == 1) | (pind(1,2) ==1)) + nbands = 1; +else + nbands = 3; +end + +if ((level > wpyrHt(pind)) | (level < 1)) + error(sprintf('Level number must be in the range [1, %d].', wpyrHt(pind))); +end + +firstband = 1 + nbands*(level-1) +firstind = 1; +for l=1:firstband-1 + firstind = firstind + prod(pind(l,:)); +end + + +ind = pind(firstband:firstband+nbands-1,:); +lev = pyr(firstind:firstind+sum(prod(ind'))-1); + diff --git a/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/zconv2.m b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/zconv2.m new file mode 100644 index 0000000..f678d89 --- /dev/null +++ b/evaluate/evaluation_code/image_quality_algorithms/metrix_mux/utilities/matlabPyrTools/zconv2.m @@ -0,0 +1,41 @@ +% RES = ZCONV2(MTX1, MTX2, CTR) +% +% Convolution of two matrices, with boundaries handled as if the larger mtx +% lies in a sea of zeros. Result will be of size of LARGER vector. +% +% The origin of the smaller matrix is assumed to be its center. +% For even dimensions, the origin is determined by the CTR (optional) +% argument: +% CTR origin +% 0 DIM/2 (default) +% 1 (DIM/2)+1 (behaves like conv2(mtx1,mtx2,'same')) + +% Eero Simoncelli, 2/97. + +function c = zconv2(a,b,ctr) + +if (exist('ctr') ~= 1) + ctr = 0; +end + +if (( size(a,1) >= size(b,1) ) & ( size(a,2) >= size(b,2) )) + large = a; small = b; +elseif (( size(a,1) <= size(b,1) ) & ( size(a,2) <= size(b,2) )) + large = b; small = a; +else + error('one arg must be larger than the other in both dimensions!'); +end + +ly = size(large,1); +lx = size(large,2); +sy = size(small,1); +sx = size(small,2); + +%% These values are the index of the small mtx that falls on the +%% border pixel of the large matrix when computing the first +%% convolution response sample: +sy2 = floor((sy+ctr+1)/2); +sx2 = floor((sx+ctr+1)/2); + +clarge = conv2(large,small); +c = clarge(sy2:ly+sy2-1, sx2:lx+sx2-1); diff --git a/evaluate/evaluation_code/imshift.m b/evaluate/evaluation_code/imshift.m new file mode 100644 index 0000000..b791d67 --- /dev/null +++ b/evaluate/evaluation_code/imshift.m @@ -0,0 +1,69 @@ +function xs = imshift(x, t, bbox) +% IMSHIFT x by d using subpixel interpolation. +% +% Input: x image to be shifted +% t 2D vector, real +% bbox 'crop' (default) or 'same' or 'full' +% +% Michael Hirsch, Stefan Harmeling * 16 August 2010 + +if ~exist('bbox', 'var')||isempty(bbox), bbox = 'crop'; end + +if size(x,3) > 2 + for i = 1:size(x,3) + xsi = colshift(x(:,:,i), t, bbox); + if i == 1 + xs = zeros(size(xsi,1), size(xsi,2), size(x,3)); + end + xs(:,:,i) = xsi; + end +else + xs = colshift(x, t, bbox); +end + +return; + +% -------------------------------------------------------------------------- +% Helper function +% -------------------------------------------------------------------------- + +function xs = colshift(x, t, bbox) +sx = size(x); +switch bbox + case {'crop','same'} + if length(sx) == 1 || sx(2) == 1 + y = shiftmatrix(sx(1), -t(1)) * x; + elseif length(sx) == 2 + y = shiftmatrix(sx(1), -t(1)) * x * shiftmatrix(sx(2), -t(2))'; + else + error('not implemented yet') + end + case 'full' + y = zeros(sx + abs(t)); + if t(1) >= 0 && t(2) >= 0 + y(1+t(1):end, 1+t(2):end) = x; + elseif t(1)<=0 && t(2)<=0 + y(1:end+t(1), 1:end+t(2)) = x; + elseif t(1)>=0 && t(2)<=0 + y(1+t(1):end, 1:end+t(2)) = x; + elseif t(1)<=0 && t(2)>=0 + y(1:end+t(1), 1+t(2):end) = x; + end +end + +switch bbox + case {'crop','full'} + xs = y; + case 'same' + xs = zeros(sx); + if t(1) >= 0 && t(2) >= 0 + xs(1+t(1):end, 1+t(2):end) = y; + elseif t(1)<=0 && t(2)<=0 + xs(1:end+t(1), 1:end+t(2)) = y; + elseif t(1)>=0 && t(2)<=0 + xs(1+t(1):end, 1:end+t(2)) = y; + elseif t(1)<=0 && t(2)>=0 + xs(1:end+t(1), 1+t(2):end) = y; + end +end + \ No newline at end of file diff --git a/evaluate/evaluation_code/myrgb2gray.m b/evaluate/evaluation_code/myrgb2gray.m new file mode 100644 index 0000000..bbaa65f --- /dev/null +++ b/evaluate/evaluation_code/myrgb2gray.m @@ -0,0 +1,110 @@ +function I = myrgb2gray(varargin) +%RGB2GRAY Convert RGB image or colormap to grayscale. +% RGB2GRAY converts RGB images to grayscale by eliminating the +% hue and saturation information while retaining the +% luminance. +% +% I = RGB2GRAY(RGB) converts the truecolor image RGB to the +% grayscale intensity image I. +% +% NEWMAP = RGB2GRAY(MAP) returns a grayscale colormap +% equivalent to MAP. +% +% Class Support +% ------------- +% If the input is an RGB image, it can be uint8, uint16, double, or +% single. The output image I has the same class as the input image. If the +% input is a colormap, the input and output colormaps are both of class +% double. +% +% Example +% ------- +% I = imread('board.tif'); +% J = rgb2gray(I); +% figure, imshow(I), figure, imshow(J); +% +% [X,map] = imread('trees.tif'); +% gmap = rgb2gray(map); +% figure, imshow(X,map), figure, imshow(X,gmap); +% +% See also IND2GRAY, NTSC2RGB, RGB2IND, RGB2NTSC, MAT2GRAY. + +% Copyright 1992-2007 The MathWorks, Inc. +% $Revision: 5.20.4.6 $ $Date: 2007/12/10 21:37:27 $ + +X = parse_inputs(varargin{:}); +origSize = size(X); + +% Determine if input includes a 3-D array +threeD = (ndims(X)==3); + +% Calculate transformation matrix +T = inv([1.0 0.956 0.621; 1.0 -0.272 -0.647; 1.0 -1.106 1.703]); +coef = T(1,:)'; + +if threeD + %RGB + % Shape input matrix so that it is a n x 3 array and initialize output + % matrix + X = reshape(X(:),origSize(1)*origSize(2),3); + sizeOutput = [origSize(1), origSize(2)]; + + % Do transformation + if isa(X, 'double') || isa(X, 'single') + I = X*coef; + I = min(max(I,0),1); + else + %uint8 or uint16 + I = myimlincomb(coef(1),X(:,1),coef(2),X(:,2),coef(3),X(:,3), ... + class(X)); + end + %Make sure that the output matrix has the right size + I = reshape(I,sizeOutput); + +else + I = X * coef; + I = min(max(I,0),1); + I = [I,I,I]; +end + + +%%% +%Parse Inputs +%%% +function X = parse_inputs(varargin) + +iptchecknargin(1,1,nargin,mfilename); + +if ndims(varargin{1})==2 + if (size(varargin{1},2) ~=3 || size(varargin{1},1) < 1) + eid = sprintf('Images:%s:invalidSizeForColormap',mfilename); + msg = 'MAP must be a m x 3 array.'; + error(eid,'%s',msg); + end + if ~isa(varargin{1},'double') + eid = sprintf('Images:%s:notAValidColormap',mfilename); + msg1 = 'MAP should be a double m x 3 array with values in the'; + msg2 = ' range [0,1].Convert your map to double using IM2DOUBLE.'; + error(eid,'%s %s',msg1,msg2); + end +elseif (ndims(varargin{1})==3) + if ((size(varargin{1},3) ~= 3)) + eid = sprintf('Images:%s:invalidInputSize',mfilename); + msg = 'RGB must be a m x n x 3 array.'; + error(eid,'%s',msg); + end +else + eid = sprintf('Images:%s:invalidInputSize',mfilename); + msg1 = 'RGB2GRAY only accepts a Mx3 matrix for MAP or a MxNx3 input for '; + msg2 = 'RGB.'; + error(eid,'%s %s',msg1,msg2); +end +X = varargin{1}; + + +%no logical arrays +if islogical(X) + eid = sprintf('Images:%s:invalidType',mfilename); + msg = 'RGB2GRAY does not accept logical arrays as inputs.'; + error(eid,'%s',msg); +end diff --git a/evaluate/evaluation_code/shiftmatrix.m b/evaluate/evaluation_code/shiftmatrix.m new file mode 100644 index 0000000..11d7a11 --- /dev/null +++ b/evaluate/evaluation_code/shiftmatrix.m @@ -0,0 +1,34 @@ +function A = shiftmatrix(n, d) + +if length(n) == 1 || n(2) == 1 + A = shiftmatrix1d(n, d); +elseif length(n) == 2 + A1 = shiftmatrix1d(n(1), d(1)); + A2 = shiftmatrix1d(n(2), d(2)); + A = kron(A1, A2); +else + error('not implemented yet'); +end + + +function A = shiftmatrix1d(n, d) + +sd = sign(d); +d = abs(d); +m = n - ceil(d); % size of the new vector +if m < 0 + error('n must be greater than abs(d)') +end +cd = ceil(d); +d = d - cd + 1; +if sd > 0 + A = [zeros(m, cd), speye(m), zeros(m, cd-1), speye(m), zeros(m, 1)]; + B = kron([d; 1-d], speye(n)); +elseif sd == 0 + A = [speye(m), speye(m)]; + B = kron([d; 1-d], speye(n)); +else + A = [zeros(m, 1), speye(m), zeros(m, cd-1), speye(m), zeros(m, cd)]; + B = kron([1-d; d], speye(n)); +end +A = A * B; diff --git a/evaluate/evaluation_code/start_eval_image.m b/evaluate/evaluation_code/start_eval_image.m new file mode 100644 index 0000000..18605e7 --- /dev/null +++ b/evaluate/evaluation_code/start_eval_image.m @@ -0,0 +1,79 @@ +% ================================================================= +% DEFINE IMGPATH, DEBLNAME, IMGTEXT AND metric +% ----------------------------------------------------------------- +MYPATH = ['/is/ei/rolfk/cpr/prj/camera_shake_benchmark/code/' ... + 'eval_deblur_img']; +DEBLPATH = '/agbs/cpr/prj/camera_shake_benchmark/benchmark/Deblurred/Hirsch'; +DEBLNAME = 'Deblurred'; +IMGEXT = 'png'; + +% ----------------------------------------------------------------- +% DEFINE METRIC: available metrics: 'MSE','MSSIM','VIF','IFC','PSNR','MAD' +% ----------------------------------------------------------------- +metric = {'PSNR'}; + +% ================================================================= +% DEFINE image Number (1 to 4) and Kernel Number (1 to 12) of +% deblurred images, which shall be assigned a score +% ----------------------------------------------------------------- +imgNo = 1:4; +kernNo = 1:12; + +% do not calculate the score for following images [img, kernel; img +% kernel] +% exclude = [1 1; 1 2; 1 3; 1 4; 1 5; 1 6]; +exclude = []; +% ================================================================= +% run the evaluation script with all ground truth images +% ----------------------------------------------------------------- +cd(MYPATH) + +for iM = 1 : length(metric) + for iImg = imgNo + for iKern = kernNo + if ~isempty(intersect([iImg iKern],exclude,'rows')) + continue + end + + metricNow = metric{iM}; + deblurred = imread(sprintf('%s/%s%d_%d.%s',DEBLPATH,DEBLNAME,iImg,iKern,IMGEXT)); + scores = eval_image(deblurred,iImg,iKern,metricNow); + + switch metricNow + case 'MSE' + DeblurScore.MSE(iImg,iKern) = ... + get_best_metric_value2(scores.MSE,'MSE',iImg,iKern); + case 'MSSIM' + DeblurScore.MSSIM(iImg,iKern) = ... + get_best_metric_value2(scores.MSSIM,'MSSIM',iImg,iKern); + case 'VIF' + DeblurScore.VIF(iImg,iKern) = ... + get_best_metric_value2(scores.VIF,'VIF',iImg,iKern); + case 'IFC' + DeblurScore.IFC(iImg,iKern) = ... + get_best_metric_value2(scores.IFC,'IFC',iImg,iKern); + case 'PSNR' + DeblurScore.PSNR(iImg,iKern) = ... + get_best_metric_value2(scores.PSNR,'PSNR',iImg,iKern); + case 'MAD' + DeblurScore.MAD(iImg,iKern) = ... + get_best_metric_value2(scores.MAD,'MAD',iImg,iKern); + end + + end + end +end + + + +% ================================================================= +% function dependencies +% ----------------------------------------------------------------- +% start_eval_image.m +% *eval_image.m +% -dftregistration.m +% -imshift.m +% -metrix_mux +% -MAD_index +% + myrgb2gray +% *get_best_metric_value2 diff --git a/evaluate/evaluation_code/vec.m b/evaluate/evaluation_code/vec.m new file mode 100644 index 0000000..f3c3cc6 --- /dev/null +++ b/evaluate/evaluation_code/vec.m @@ -0,0 +1,7 @@ +function v = vec(A) +if iscell(A) + v = cell2mat(cellfun(@(Aij) Aij(:), A, 'UniformOutput', false)); + v = v(:); +else + v = A(:); +end \ No newline at end of file diff --git a/my_run_pred.sh b/my_run_pred.sh index 4d4a4c1..7fc5022 100644 --- a/my_run_pred.sh +++ b/my_run_pred.sh @@ -1,3 +1,6 @@ +# #################### +# predict on testset # +# #################### #!/bin/bash # Params ALIGNMENT=("_nowarp") # "_OF" "_homography") @@ -41,4 +44,53 @@ do done done +# ##################### +# predict on validset # +# ##################### +# #!/bin/bash +# # Params +# ALIGNMENT=("_nowarp" "_OF" "_homography") #("_nowarp" "_OF" "_homography") +# validset=('IMG_0030' 'IMG_0049' 'IMG_0021' '720p_240fps_2' 'IMG_0032' \ +# 'IMG_0033' 'IMG_0031' 'IMG_0003' 'IMG_0039' 'IMG_0037') + +# MODEL="model2_symskip_nngraph2_deeper" +# METHOD="" +# DATE="original" +# itFix='' +# FNFix='' +# for align in ${ALIGNMENT[@]} +# # for((i=0;i<${#ALIGNMENT[@]};i++)) +# do +# FN=${DATE}"_"$MODEL${align}$METHOD +# echo 'FN='${FN} +# FN_ALIGNS=(${FN_ALIGNS[@]} ${FN}) +# REALSET_ALIGNS=(${REALSET_ALIGNS[@]} "data/training_real_all_nostab"${align}) +# FNREAL_ALIGNS=(${FNREAL_ALIGNS[@]} ${FN}"_real") +# done +# GPUID=0 +# EPOCHTEST=400 + +# export CUDA_VISIBLE_DEVICES=$GPUID + +# # Scan input video folders +# for subset in ${validset[@]} +# do +# echo "Processing "${subset}"... " +# # prediction on qualitative (real) set +# for((i=0;i<${#ALIGNMENT[@]};i++)) +# do +# FN=${FN_ALIGNS[i]}; REALSET=${REALSET_ALIGNS[i]}; FNREAL=${FNREAL_ALIGNS[i]} +# echo "Processing "${subset}${ALIGNMENT[i]}"... " +# echo 'FN='${FN} +# echo 'REALSET='${REALSET} +# echo 'FNREAL='${FNREAL} +# th inference.lua -g $GPUID --model $MODEL --data_root $REALSET/$subset \ +# --model_param logs/$FN$FNFix/param_epoch_$EPOCHTEST$itFix.t7 \ +# --bn_meanstd logs/$FN$FNFix/bn_meanvar_epoch_$EPOCHTEST$itFix.t7 \ +# --saveDir outImg/${DATE}"_validating_"$MODEL${ALIGNMENT[i]}$METHOD$FNFix$itFix/$subset \ +# --start_id 1 --n 100 --patchbypatch 1 --patch_size 256 +# # --saveDir outImg/$FNREAL$FNFix$itFix/$subset \ +# done +# done + diff --git a/run_model.sh b/run_model.sh index 2d91cf9..25370d6 100644 --- a/run_model.sh +++ b/run_model.sh @@ -4,7 +4,7 @@ export CUDA_VISIBLE_DEVICES=$GPUID rootDir='' date='1220' -aligns=("_homography") #"_nowarp" "_OF" +aligns=("_homography") #"_homography" "_nowarp" "_OF" modelName='model2_symskip_nngraph2_deeper' epochTest=400 #don't know what this means @@ -12,11 +12,12 @@ for align in ${aligns[@]} do trainsetFolder="${rootDir}data/training_augumented_all_nostab${align}" validsetFolder="${rootDir}data/validating_augumented_all_nostab${align}" - testsetFolder="${rootDir}data/original_testing_real_all_nostab${align}" +# testsetFolder="${rootDir}data/original_testing_real_all_nostab${align}" + testsetFolder="/home/omnisky/Desktop/zc/DeepVideoDeblurring/data/training_real_all_nostab${align}" modelDir="${rootDir}models/${modelName}.py" paramSaveFolder="${rootDir}logs/${date}_${modelName}${align}" - outDir="${rootDir}outImg/${date}_${modelName}${align}" - +# outDir="${rootDir}outImg/${date}_${modelName}${align}" + outDir="${rootDir}outImg/${date}_training_${modelName}${align}" # ############################ # # train from the beginning #