Restoration of defocus blur image based on global phase coherence

  • Le Cui*
  • , Wenrui Ding
  • , Yiyun Man
  • , Dong Wang
  • *Corresponding author for this work

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

Abstract

In this paper, a novel approach of defocus blur image restoration is proposed, which is based on Global Phase Coherence (GPC). As a good sharpness indicator, GPC was testified to be effective for restoration of defocus blur image. Since a deconvolution kernel was designed based on Wiener filter, the additive noise was able to be estimated in several flat regions, which are selected by Normalized Total Variation (NTV) measurement. Moreover, according to the unimodal property between GPC of images obtained via deconvolution and estimated defocus blur radius, a "Pyramid" search is adopted to determine the exact blur radius and restore the image. The experimental results reveal that the proposed method was particularly effective for defocus blur image even with additive noises.

Original languageEnglish
Title of host publicationProceedings of the 2009 2nd International Congress on Image and Signal Processing, CISP'09
DOIs
StatePublished - 2009
Event2009 2nd International Congress on Image and Signal Processing, CISP'09 - Tianjin, China
Duration: 17 Oct 200919 Oct 2009

Publication series

NameProceedings of the 2009 2nd International Congress on Image and Signal Processing, CISP'09

Conference

Conference2009 2nd International Congress on Image and Signal Processing, CISP'09
Country/TerritoryChina
CityTianjin
Period17/10/0919/10/09

Keywords

  • Defocus blur
  • Global phase coherence
  • Image restoration

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