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Blind separation of single-channel permuted defocus blurred image

Wang Wei1,Fang Yong1,2 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  
A novel single-channel blind separation algorithm for permuted defocus blurred image is proposed based on parameter estimation in this paper.The defocus blur radius is estimated by the characteristics of permuted image in the frequency domain,and then the permuted image is restored by performing the Lucy-Richardson(L-R)blind restoration method.The ringing effect of restored image is measured by defining the sum of absolute pixel gradient,and the permutation mixing matrixes can be accurately estimated by classifying the ringing effect of each sub-block,thereby separating the source images.Simulation results show that the proposed algorithm is able to achieve better separation efficiency for the permuted defocus blurred image with various permutation operations and a better performance on the robustness against Gaussian noise and lossy JPEG compression.
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