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

Weijun Zhang; Sheng Zhong; Jianhui Wang

doi:10.1117/12.2030999

26 October 2013 A robust motion deblurring method using salient edge prediction on transfer region

Weijun Zhang, Sheng Zhong, Jianhui Wang

Proceedings Volume 8917, MIPPR 2013: Multispectral Image Acquisition, Processing, and Analysis; 89170Q (2013) https://doi.org/10.1117/12.2030999
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China

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.

Citation Download Citation

Weijun Zhang, Sheng Zhong, and Jianhui Wang "A robust motion deblurring method using salient edge prediction on transfer region", Proc. SPIE 8917, MIPPR 2013: Multispectral Image Acquisition, Processing, and Analysis, 89170Q (26 October 2013); https://doi.org/10.1117/12.2030999

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KEYWORDS

Image restoration

Image processing

Motion estimation

Deconvolution

Image filtering

MATLAB

Image quality

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