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A maximum entropy image restoration methods based on Weiner filter

  • Changjun Fu*
  • , Dong Xu
  • , Yan Zhao
  • *Corresponding author for this work
  • Beihang University

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

Abstract

A closed-form maximum entropy image restoration method is proposed in this paper. First, the least square solution in the presence of measurement error is found by Weiner filter. Then a small perturbation from the solution is determined in the null space of the blur matrix by maximum entropy criterion. The closed-form least square solution and its perturbation are deserved which means no iterative, less complexity and rapid processing. Compared with Weiner filter, the method proposed is also a stabilizing algorithm, and more details can be deserved due to the introduced perturbation.

Original languageEnglish
Title of host publicationInternational Symposium on Photoelectronic Detection and Imaging 2007
Subtitle of host publicationRelated Technologies and Applications
DOIs
StatePublished - 2008
EventInternational Symposium on Photoelectronic Detection and Imaging, ISPDI 2007: Related Technologies and Applications - Beijing, China
Duration: 9 Sep 200712 Sep 2007

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6625
ISSN (Print)0277-786X

Conference

ConferenceInternational Symposium on Photoelectronic Detection and Imaging, ISPDI 2007: Related Technologies and Applications
Country/TerritoryChina
CityBeijing
Period9/09/0712/09/07

Keywords

  • Image restoration
  • Least squares solution
  • Maximum entropy
  • Weiner filter

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