@inproceedings{f2f8a173819545ffb1b3624c6fc7a3dd,
title = "Turning a denoiser into a super-resolver using plug and play priors",
abstract = "Denoising and Super-Resolution are two inverse problems that have been extensively studied. Over the years, these two tasks were treated as two distinct problems that deserve a different algorithmic solution. In this paper we wish to exploit the recently introduced Plug-and-Play Prior (PPP) approach [1] to connect between the two. Using the PPP, we turn leading denoisers into super-resolution solvers. As a case-study we demonstrate this on the NCSR algorithm, which has two variants: one for denoising and one for superresolution. We show that by using the NCSR denoiser, one can get equal or even better results when compared with the NCSR super-resolution.",
keywords = "ADMM, Image denoising, NCSR, Plug-and-play, Single image super-resolution",
author = "Alon Brifman and Yaniv Romano and Michael Elad",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 23rd IEEE International Conference on Image Processing, ICIP 2016 ; Conference date: 25-09-2016 Through 28-09-2016",
year = "2016",
month = aug,
day = "3",
doi = "10.1109/ICIP.2016.7532589",
language = "الإنجليزيّة",
series = "Proceedings - International Conference on Image Processing, ICIP",
pages = "1404--1408",
booktitle = "2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings",
}