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10.1109/ICGEC.2012.102guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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Image Restoration for Linear Local Motion-Blur Based on Cepstrum

Published: 25 August 2012 Publication History

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 sub images firstly and then detect the blurred sub image by the gradient distribution and the maximum of cepstrum. for a blurred sub image, 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 sub image. Using many artificial and real blurred images, the experimental results show that the proposed approach is more accurate and robust than other methods.

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      Published In

      cover image Guide Proceedings
      ICGEC '12: Proceedings of the 2012 Sixth International Conference on Genetic and Evolutionary Computing
      August 2012
      599 pages
      ISBN:9780769547633

      Publisher

      IEEE Computer Society

      United States

      Publication History

      Published: 25 August 2012

      Author Tags

      1. blur detection
      2. cepstrum
      3. local motion blur
      4. point spread function

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