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Multi-limit unsymmetrical MLIBD image restoration algorithm

  • Yang Yang
  • , Yi Ping Cheng
  • , Zai Wang Chen
  • , Chen Bo*
  • *Corresponding author for this work
  • Information Engineering University
  • Air Force Airborne Academy

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

Abstract

A novel multi-limit unsymmetrical iterative blind deconvolution(MLIBD) algorithm was presented to enhance the performance of adaptive optics image restoration.The algorithm enhances the reliability of iterative blind deconvolution by introducing the bandwidth limit into the frequency domain of point spread(PSF),and adopts the PSF dynamic support region estimation to improve the convergence speed.The unsymmetrical factor is automatically computed to advance its adaptivity.Image deconvolution comparing experiments between Richardson-Lucy IBD and MLIBD were done,and the result indicates that the iteration number is reduced by 22.4% and the peak signal-to-noise ratio is improved by 10.18dB with MLIBD method.The performance of MLIBD algorithm is outstanding in the images restoration the FK5-857 adaptive optics and the double-star adaptive optics.

Original languageEnglish
Title of host publicationOptical Design and Testing V
DOIs
StatePublished - 2012
Externally publishedYes
EventOptical Design and Testing V - Beijing, China
Duration: 5 Nov 20127 Nov 2012

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8557
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceOptical Design and Testing V
Country/TerritoryChina
CityBeijing
Period5/11/127/11/12

Keywords

  • Bandwidth limit
  • Dynamic support region
  • Image restoration
  • Iterative blind deconvolution

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