首页|Blind-restoration-based blind separation method for permuted motion blurred images
Blind-restoration-based blind separation method for permuted motion blurred images
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A novel single-channel blind separation algorithm for permuted motion blurred images is proposed by using blind restoration in this paper.Both the motion direction and the length of the point spread function (PSF) are estimated by Radon transformation and extrema a detection.Using the estimated blur parameters, the permuted image is restored by performing the L-R blind restoration method.The permutation mixing matrices can be accurately estimated by classifying the ringing effect in the restored image, thereby the source images can be separated.Simulation results show a better separation efficiency for the permuted motion blurred image with various permutation operations.The proposed algorithm indicates a better performance on the robustness against Gaussian noise and lossy JPEG compression.
Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University, Shanghai 200072, P. R. China
国家自然科学基金Shanghai Leading Academic Discipline ProjectGraduate Student Innovation Foundation of Shanghai University
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NSTL
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