Blind separation of permuted alias image based on blur detection

Xintao Duan; Yong Fang

doi:10.1117/12.2014041

13 March 2013 Blind separation of permuted alias image based on blur detection

Xintao Duan, Yong Fang

Proceedings Volume 8783, Fifth International Conference on Machine Vision (ICMV 2012): Computer Vision, Image Analysis and Processing; 87831B (2013) https://doi.org/10.1117/12.2014041
Event: Fifth International Conference on Machine Vision (ICMV 12), 2012, Wuhan, China

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.

Citation Download Citation

Xintao Duan and 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); https://doi.org/10.1117/12.2014041

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