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Proceedings Paper

Blind separation of permuted alias image based on blur detection
Author(s): Xintao Duan; Yong Fang
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Paper 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.

Paper Details

Date Published: 13 March 2013
PDF: 6 pages
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
Show Author Affiliations
Xintao Duan, Shanghai Univ. (China)
Henan Normal Univ. (China)
Yong Fang, Shanghai Univ. (China)


Published in SPIE Proceedings Vol. 8783:
Fifth International Conference on Machine Vision (ICMV 2012): Computer Vision, Image Analysis and Processing
Yulin Wang; Liansheng Tan; Jianhong Zhou, Editor(s)

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