coldfir3/RED: REgularization by Denoising (RED)

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 (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, 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]>
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
coldfir3/RED documentation built on May 8, 2019, 10:52 p.m.