coldfir3/RED: REgularization by Denoising (RED)
Version 1.0.0

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, deblur and super-resolution. And again, any other task can be easily plugged into the main function 'RED'.

Getting started

Package details

Authorperson("Adriano", "Passos", email="[email protected]", role=c("aut","cre"))
MaintainerAdriano G. Passos <[email protected]>
LicenseGPL-3
Version1.0.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("coldfir3/RED")
coldfir3/RED documentation built on June 24, 2017, 8:41 a.m.