中文

Journal of Applied Sciences ›› 2011, Vol. 29 ›› Issue (2): 169-175.doi: 10.3969/j.issn.0255-8297.2011.02.010

• Signal and Information Processing • Previous Articles     Next Articles

Blind Separation of Single Channel Permuted Image Based on Double Blur Correlation

WANG Wei1, FANG Yong1;2   

  1. 1. School of Communication and Information Engineering, Key Laboratory of Specialty Fiber Optics and
    Optical Access Networks, Shanghai University, Shanghai 200072, China
    2. Key Laboratory of Advanced Display and System Applications, Ministry of Education,
    Shanghai University, Shanghai 200072, China
  • Received:2010-04-20 Revised:2010-11-04 Online:2011-03-23 Published:2011-03-23

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Abstract:

This paper proposes a single-channel blind separation scheme using double blur correlation for blurring permuted images. The permuted image is blurred again and the correlation coefficients of image blocks are estimated before and after double blurring. Using the estimated correlation coefficients, a mapping space is constructed. The permutation mixing matrixes can be accurately estimated by classifying the parameters in
the mapping space, thus the source images can be separated. Simulation results show high detection accuracy for permuted images with various blurring operations. The proposed method has good robustness against Gaussian noise and lossy JPEG compression.

Key words:  permuted image, blind source separation, double blur correlation, mapping space, single-channel

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