Regularization by Denoising (RED)

The work reported in our RED paper (see below) presents a novel way to regularize inverse problems by leveraging almost any denoising algorithm. Our scheme, called RED, leads to very flexible image restoration algorithms that apply denoising within their iterative process. The experiments reported in this paper show a tendency to state-of-the-art results. A software package reproducing this paper’s experiments is given here, under GitHub.