Soft-Segmentation Guided Object Motion Deblurring

Jin-shan Pan (潘金山)

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CVPR, pp. 459-468, 2016.

Cited by: 61|Views31

Keywords:

blur effectart objectefficient algorithmmaximum a posteriordifferent blurMore(11+)

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Experimental results show that the proposed algorithm performs favorably against the state-of-the-art object motion deblurring methods as well as non-uniform deblurring approaches

Abstract:

Object motion blur is a challenging problem as the foreground and the background in the scenes undergo different types of image degradation due to movements in various directions and speed. Most object motion deblurring methods address this problem by segmenting blurred images into regions where different kernels are estimated and applied...More

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