Study of the performance of image restoration under different wavefront aberrations

Xinqiu Wang*, Xinqi Hu

*Corresponding author for this work

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

Abstract

Image restoration is an effective way to improve the quality of images degraded by wave-front aberrations. If the wave-front aberration is too large, the performance of the image restoration will not be good. In this paper, the relationship between the performance of image restoration and the degree of wave-front aberrations is studied. A set of different wave-front aberrations is constructed by Zernike polynomials, and the corresponding PSF under white-light illumination is calculated. A set of blurred images is then obtained through convolution methods. Next we recover the images with the regularized Richardson-Lucy algorithm and use the RMS of the original image and the homologous deblurred image to evaluate the quality of restoration. Consequently, we determine the range of wave-front errors in which the recovered images are acceptable.

Original languageEnglish
Title of host publicationOptical Measurement Technology and Instrumentation
EditorsSen Han, Jiubin Tan
PublisherSPIE
ISBN (Electronic)9781510607682
DOIs
Publication statusPublished - 2016
EventInternational Symposium on Optical Measurement Technology and Instrumentation - Beijing, China
Duration: 9 May 201611 May 2016

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10155
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceInternational Symposium on Optical Measurement Technology and Instrumentation
Country/TerritoryChina
CityBeijing
Period9/05/1611/05/16

Keywords

  • Richardson-Lucy algorithm
  • image restoration
  • wave-front aberration
  • wave-front sensor;

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