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Proceedings Paper

A robust motion deblurring method using salient edge prediction on transfer region
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Paper Abstract

Blind motion deblurring from a single image is a challenging ill-posed problem. Significant progress has been made since blur kernel estimation method using salient edge prediction on transfer region is proposed. However, as selection rule for points to estimate the blur kernel has not been researched deeply, some texture and noise points were taken into account for blur kernel estimating, which makes the existing methods not robust enough. This paper propose a robust motion deblurring algorithm using salient edge prediction on transfer region, which employs a new metric to select transfer region points for kernel estimation. A novel kernel refinement method with hysteresis thresholding is also proposed and adopted by the algorithm to reduce the kernel noise. Extensive experiments show that the algorithm achieves good results, while both the new metric and the novel kernel refinement method improve robustness of the restoration algorithm.

Paper Details

Date Published: 26 October 2013
PDF: 8 pages
Proc. SPIE 8917, MIPPR 2013: Multispectral Image Acquisition, Processing, and Analysis, 89170Q (26 October 2013); doi: 10.1117/12.2030999
Show Author Affiliations
Weijun Zhang, Huazhong Univ. of Science and Technology (China)
Sheng Zhong, Huazhong Univ. of Science and Technology (China)
Jianhui Wang, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8917:
MIPPR 2013: Multispectral Image Acquisition, Processing, and Analysis
Xinyu Zhang; Jianguo Liu, Editor(s)

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