final

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 <adriano.utfpr@gmail.com>
-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) <arXiv:1611.02862>. 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 easlity plugged into the main function 'RED'.
 Depends: R (>= 3.4.0), imager
 License: GPL-3
 Encoding: UTF-8