cameraman

<p>This image is usually used as benchmark in SR problems</p>

datasets

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

Adriano Passos

redR

REgularization by Denoising (RED)

cameraman function

<p>an image of class <code>cimg</code></p>

cameraman: Photograph of a cameraman

Description

Usage

Arguments

Format