Acta Metallurgica Sinica(English letters) ›› 2010, Vol. 17 ›› Issue (3): 104-109.doi: 10.1016/S1005-8885(09)60470-2

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Blind image deconvolution for single motion-blurred image

孙韶杰1,吴琼2,李国辉2   

  1. 1. 国防科学技术大学
    2.
  • 收稿日期:2009-10-15 修回日期:2010-01-20 出版日期:2010-06-30 发布日期:2010-06-29
  • 通讯作者: 孙韶杰 E-mail:sshj_mil@126.com
  • 基金资助:

    其他

Blind image deconvolution for single motion-blurred image

  • Received:2009-10-15 Revised:2010-01-20 Online:2010-06-30 Published:2010-06-29

摘要:

Motion blur due to camera shake during exposure is one of the most common reasons of image degradation, which usually reduces the quality of photographs seriously. Based on the statistical properties of the natural image’s gradient and the blur kernel, a blind deconvolution algorithm is proposed to restore the motion-blurred image caused by camera shake, adopting the variational Bayesian estimation theory. In addition, the ring effect is one problem that is not avoided in the process of image deconvolution, and usually makes the visual effect of the restored image badly. So a dering method is put forward based on the sub-region detection and fuzzy filter. Tested on the real blurred photographs, the experimental results show that the proposed algorithm of blind image deconvolution can remove the camera-shake motion blur from the degraded image effectively, and can eliminate the ring effect better, while preserve the edges and details of the image well.

关键词:

blind image deconvolution, motion blur, camera shake, ring effect

Abstract:

Motion blur due to camera shake during exposure is one of the most common reasons of image degradation, which usually reduces the quality of photographs seriously. Based on the statistical properties of the natural image’s gradient and the blur kernel, a blind deconvolution algorithm is proposed to restore the motion-blurred image caused by camera shake, adopting the variational Bayesian estimation theory. In addition, the ring effect is one problem that is not avoided in the process of image deconvolution, and usually makes the visual effect of the restored image badly. So a dering method is put forward based on the sub-region detection and fuzzy filter. Tested on the real blurred photographs, the experimental results show that the proposed algorithm of blind image deconvolution can remove the camera-shake motion blur from the degraded image effectively, and can eliminate the ring effect better, while preserve the edges and details of the image well.

Key words:

blind image deconvolution, motion blur, camera shake, ring effect