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Wavefront reconstruction for image restoration based on generalized ridge estimation

  • Yang Yang
  • , Bo Chen*
  • *Corresponding author for this work
  • Information Engineering University
  • Air Force Airborne Academy

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

Abstract

In order to enhance the performance of adaptive optics image restoration, a novel wavefront reconstruction algorithm was presented that was based on generalized ridge estimation. In the view of adaptive optics image post-processed restoration, real time and fast computation are not the basic request of wavefront reconstruction, but the high-precision. On the consideration of sacrifice time for precision, it brought the idea of generalized ridge estimation (GRE) into wavefront-reconstruction algorithm, to improve the singularity of least square (LS) and restrain the enlarger of wavefront measure-error. Then, the iterative solution method was brought into wavefront-reconstruction for improving the solution of singular equation and the precision of reconstructed-PSF ( point spread function ). Finally, the blurred-image restoration experiment was implemented to verify the precision of reconstructed-PSF. The experiment proved that the novel algorithm which restored PSF had performed well in image restoration, and the image restoration effect of GRE-Reconstructed-PSF was 15% better than those of LS-Reconstructed-PSF.

Original languageEnglish
Title of host publicationOptical Design and Testing VI
EditorsChunlei Du, Jose Sasian, Yongtian Wang, Kimio Tatsuno
PublisherSPIE
ISBN (Electronic)9781628413458
DOIs
StatePublished - 2014
Externally publishedYes
EventOptical Design and Testing VI - Beijing, China
Duration: 9 Oct 201410 Oct 2014

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9272
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceOptical Design and Testing VI
Country/TerritoryChina
CityBeijing
Period9/10/1410/10/14

Keywords

  • adaptive optics
  • generalized ridge estimation
  • image restoration
  • wavefront reconstruction

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