Efficient sparse representation based image super resolution via dual dictionary learning

Haichao Zhang, Yanning Zhang, Thomas S. Huang

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

25 Scopus citations

Abstract

Super resolution is of great use in many visual media related scenarios, such as displaying low resolution contents on High-Definition TV(HD-TV). In these scenarios, the efficiency of the super resolution process is of vital importance. This paper presents a fast learning based super-resolution method. The proposed method speeds up the sparse representation based super-resolution method by learning a dual dictionary, and replaces the sparse recovery step by simple matrix multiplication, which is much more computationally efficient. Experiments demonstrate that the proposed method can generate desirable super-resolved images with significant computational advantages.

Original languageEnglish
Title of host publicationElectronic Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, ICME 2011
DOIs
StatePublished - 2011
Event2011 12th IEEE International Conference on Multimedia and Expo, ICME 2011 - Barcelona, Spain
Duration: 11 Jul 201115 Jul 2011

Publication series

NameProceedings - IEEE International Conference on Multimedia and Expo
ISSN (Print)1945-7871
ISSN (Electronic)1945-788X

Conference

Conference2011 12th IEEE International Conference on Multimedia and Expo, ICME 2011
Country/TerritorySpain
CityBarcelona
Period11/07/1115/07/11

Keywords

  • dual dictionary learning
  • sparse representation
  • Super-resolution

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