Blind Deconvolution Algorithm for Overlap-Blurred Images Based on Coded-Shutter Model
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Graphical Abstract
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Abstract
A coded-shutter model is proposed to approximate the nature of overlap-blur, which often arises in the criminal detection forensics work. A blind image deconvolution algorithm is designed based on the coded-shutter model. The experiment results show that when tested on the real overlap-blurred photographs, the proposed algorithm can restore the information of interest in the blurred images effectively.
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