Blind-restoration-based blind separation method for permuted motion blurred images

作     者：方勇 王伟 FANG Yong , WANG Wei Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University, Shanghai 200072, P. R. China

作者机构：Key Laboratory of Specialty Fiber Optics and Optical Access Networks School of Communication and Information Engineering Shanghai University 

出 版 物：《Journal of Shanghai University(English Edition)》 (上海大学学报（英文版）)

年 卷 期：2011年第15卷第2期

页      面：79-84页

学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 

基　　金：Project supported by the National Natural Science Foundation of China (Grant No.60872114) the Shanghai Leading Academic Discipline Project (Grant No.S30108) the Graduate Student Innovation Foundation of Shanghai University (Grant No.SHUCX101086) 

主　　题：permuted image blind source separation (BSS) motion blur blind restoration single-channel 

摘      要：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.