The estimation of blur based on image information

Feng Duan, Yanning Zhang

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

Abstract

Blind image deconvolution is required in many applications of microscopy imaging, remote sensing, and astronomical imaging. The primary difficulty with blind image restoration is insufficient information. We propose a novel algorithm in the estimation of blur based on convex optimization theory and image information. How to extract the information from image is discussed in this paper. Finally, the non-blind image restoration is introduced and good performance is observed in the experiments.

Original languageEnglish
Title of host publicationProceedings of the 5th International Conference on Image and Graphics, ICIG 2009
PublisherIEEE Computer Society
Pages109-112
Number of pages4
ISBN (Print)9780769538839
DOIs
StatePublished - 2009
Event5th International Conference on Image and Graphics, ICIG 2009 - Xi'an, Shanxi, China
Duration: 20 Sep 200923 Sep 2009

Publication series

NameProceedings of the 5th International Conference on Image and Graphics, ICIG 2009

Conference

Conference5th International Conference on Image and Graphics, ICIG 2009
Country/TerritoryChina
CityXi'an, Shanxi
Period20/09/0923/09/09

Keywords

  • Image deblur
  • PSF estimation

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