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Super-resolution image reconstruction algorithm based on double sparse representation

  • Huan Wang*
  • , Jinping Sun
  • *Corresponding author for this work

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

Abstract

Aiming at the current requirements of image reconstruction in the actual applications, by studying the super-resolution image reconstruction and the theory of sparse representation, this paper proposes a super-resolution image reconstruction algorithm based on double sparse representation. This paper also makes some comparative experiments with the algorithm based on single sparse representation. The experiment results show that the reconstruction results of our algorithm are better than the results of super-resolution image reconstruction algorithm based on single sparse presentation.

Original languageEnglish
Title of host publicationIET International Radar Conference 2013
Edition617 CP
DOIs
StatePublished - 2013
EventIET International Radar Conference 2013 - Xi'an, China
Duration: 14 Apr 201316 Apr 2013

Publication series

NameIET Conference Publications
Number617 CP
Volume2013

Conference

ConferenceIET International Radar Conference 2013
Country/TerritoryChina
CityXi'an
Period14/04/1316/04/13

Keywords

  • Dictionary learning
  • Sparse representation
  • Super-resolution image reconstruction
  • Training samples

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