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The restoration of motion blurred images based on the background modeling

  • Jiang Yang Chen*
  • , Xi Ling Luo
  • *Corresponding author for this work
  • Beihang University

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

Abstract

For the mutual effects of camera shake and subject movement, the image generation space varying motion blur. In order to achieve image restoration, firstly dividing the image area using the Gaussian background modeling, and updated model adaptive to improve the speed and convergence accuracy. Then use the total variation (TV) of the L1 model to estimate the regional point spread function (PSF), and adopted the edge density weight to reduce small edge’s interference for the PSF estimates. Eventually to restored image by Wiener filter. Through experimental analysis, compared with other algorithms, our algorithms get better results in the space varies motion-blurred image.

Original languageEnglish
Title of host publicationManufacturing Technology, Electronics, Computer and Information Technology Applications
EditorsZhang Lin, Hongying Hu, Yajun Zhang, Jianguo Qiao, Jiamin Xu
PublisherTrans Tech Publications Ltd
Pages3591-3595
Number of pages5
ISBN (Electronic)9783038353287
DOIs
StatePublished - 2014
Event2014 International Conference on Manufacturing Technology and Electronics Applications, ICMTEA 2014 - Taiyuan, China
Duration: 8 Nov 20149 Nov 2014

Publication series

NameApplied Mechanics and Materials
Volume687-691
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference2014 International Conference on Manufacturing Technology and Electronics Applications, ICMTEA 2014
Country/TerritoryChina
CityTaiyuan
Period8/11/149/11/14

Keywords

  • Background modeling
  • Image restoration
  • Motion blur
  • TV-L1 model

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