Turning a denoiser into a super-resolver using plug and play priors

Alon Brifman, Yaniv Romano, Michael Elad

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings
Pages1404-1408
Number of pages5
ISBN (Electronic)9781467399616
DOIs
StatePublished - 3 Aug 2016
Event23rd IEEE International Conference on Image Processing, ICIP 2016 - Phoenix, United States
Duration: 25 Sep 201628 Sep 2016

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume2016-August

Conference

Conference23rd IEEE International Conference on Image Processing, ICIP 2016
Country/TerritoryUnited States
CityPhoenix
Period25/09/1628/09/16

Keywords

  • ADMM
  • Image denoising
  • NCSR
  • Plug-and-play
  • Single image super-resolution

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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