13 March 2013 Blind separation of permuted alias image based on blur detection
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Abstract
A blind separation algorithm based on blur detection is proposed for a type of permuted alias image with blur difference. In the model of permuted alias image, space domain is selected as characteristic domain. Difference images are obtained by implementing four-phase-difference method, followed by partitioned into sub-blocks to compute variance value of them. Blurry images are separated from the permuted alias image by detecting the blurry sub-blocks with threshold operation. The simulation results show that blurry images can be effectively separated from the permuted alias image without respect to the location and size of permuting image.
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Xintao Duan, Xintao Duan, Yong Fang, Yong Fang, "Blind separation of permuted alias image based on blur detection", Proc. SPIE 8783, Fifth International Conference on Machine Vision (ICMV 2012): Computer Vision, Image Analysis and Processing, 87831B (13 March 2013); doi: 10.1117/12.2014041; https://doi.org/10.1117/12.2014041
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