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Image restoration for linear local motion-blur based on cepstrum

  • Chao Ho Chen*
  • , Zhang Rui
  • , Kuo Kun Tseng
  • , Jeng Shyang Pan
  • *Corresponding author for this work
  • National Kaohsiung University of Science and Technology
  • Harbin Institute of Technology Shenzhen

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

Abstract

This paper presents a real-time restoration method for linear local motion-blur image. For an image in which only the fast moving-object is blurred but the background is clear, the proposed basic strategy is to divide such an image into many subimages firstly and then detect the blurred subimage by the gradient distribution and the maximum of cepstrum. For a blurred subimage, the blur direction and blur length are estimated to calculate the parameters of point spread function (PSF) and Lucy-Richardson deconvolution algorithm is employed to restore this blurred subimage. Using many artificial and real blurred images, the experimental results show that the proposed approach is more accurate and robust than other methods.

Original languageEnglish
Title of host publicationProceedings - 2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012
Pages332-335
Number of pages4
DOIs
StatePublished - 2012
Externally publishedYes
Event2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012 - Kitakyushu, Japan
Duration: 25 Aug 201228 Aug 2012

Publication series

NameProceedings - 2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012

Conference

Conference2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012
Country/TerritoryJapan
CityKitakyushu
Period25/08/1228/08/12

Keywords

  • Blur detection
  • Cepstrum
  • Local motion blur
  • Point spread function

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