Noisy Video Super-Resolution

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

11 Scopus citations

Abstract

Low-quality videos often not only have limited resolution, but also suffer from noise. Directly up-sampling a video without considering noise could deteriorate its visual quality due to magnifying noise. This paper addresses this problem with a unified framework that achieves simultaneous de-noising and super-resolution. This framework formulates noisy video super-resolution as an optimization problem, aiming to maximize the visual quality of the result. We consider a good quality result to be fidelity-preserving, detailpreserving and smooth. Accordingly, we propose measures for these qualities in the scenario of de-noising and superresolution. The experiments on a variety of noisy videos demonstrate the effectiveness of the presented algorithm.

Original languageEnglish
Title of host publicationMM'08 - Proceedings of the 2008 ACM International Conference on Multimedia, with co-located Symposium and Workshops
Pages713-716
Number of pages4
DOIs
StatePublished - 2008
Externally publishedYes
Event16th ACM International Conference on Multimedia, MM '08 - Vancouver, BC, Canada
Duration: 26 Oct 200831 Oct 2008

Publication series

NameMM'08 - Proceedings of the 2008 ACM International Conference on Multimedia, with co-located Symposium and Workshops

Conference

Conference16th ACM International Conference on Multimedia, MM '08
Country/TerritoryCanada
CityVancouver, BC
Period26/10/0831/10/08

Keywords

  • Algorithms

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