From 257a59eda56d7eef3232550d899ae441db8126f0 Mon Sep 17 00:00:00 2001 From: Adriano G Passos Date: Wed, 14 Jun 2017 11:28:34 -0300 Subject: [PATCH] final --- DESCRIPTION | 11 +++++++++-- 1 file changed, 9 insertions(+), 2 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index e1a61aa..c12596f 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,10 +1,17 @@ -Package: RED +Package: redR Type: Package Title: REgularization by Denoising (RED) Version: 1.0.0 Author: person("Adriano", "Passos", email="adriano.utfpr@gmail.com", role=c("aut","cre")) Maintainer: Adriano G. Passos -Description: Regularization by Denoising uses a denoising engine to solve many image reconstruction ill-posed inverse problems. +Description: Regularization by Denoising uses a denoising engine to solve + many image reconstruction ill-posed inverse problems. This is a R + implementation of the algorithm developed by Romano et.al. (2016) . Currently, + only the gradient descent optimization framework is implemented. Also, + only the median filter is implemented as a denoiser engine. However, + (almost) any denoiser engine can be plugged in. There are currently available + 3 reconstruction tasks: Denoise, deblurr and super-resolution. And again, + any other task can be easlly plugged into the main function 'RED'. Depends: R (>= 3.4.0), imager License: GPL-3 Encoding: UTF-8