[1] [1] KRAHMER F, LIN Y, MCADOO B, et al.. Blind image deconvolution: Motion blur estimation［J］. IMA Preprints Series, 2006: 2133-5.

[2] [2] DAI S, WU Y. Motion from blur ［C］.Computer Vision and Pattern Recognition(CVPR), 2008: 1-8.

[3] [3] MISKIN J. Ensemble Learning for Independent Component Analysis ［D］. Cambridge:University of Cambridge.2000.

[4] [4] FERGUS R, SINGH B, HERTZMANN A,et al.. Removing camera shake from a single photograph［J］.ACM Transactions on Graphics, 2006, 25(3): 787-794.

[5] [5] LEVIN A, WEISS Y, DURAND F, et al.. Efficient marginal likelihood optimization in blind deconvolution ［C］.Computer Vision and Pattern Recognition (CVPR), 2011: 2657-2664.

[6] [6] LEVIN A, WEISS Y, DURAND F, et al.. Understanding and evaluating blind deconvolution algorithms ［C］.Computer Vision and Pattern Recognition, 2009:1964-1971.

[7] [7] CHO T S, PARIS S, HORN B K P, et al.. Blur kernel estimation using the Radon transform ［C］.Computer Vision and Pattern Recognition (CVPR), 2011: 241-248.

[8] [8] DOBE M, MACHALA L, FRST T. Blurred image restoration: A fast method of finding the motion length and angle ［J］. Digital Signal Processing, 2010, 20(6): 1677-1686.

[9] [9] SAKANO M, SUETAKE N, UCHINO E. A PSF estimation based on Hough transform concerning gradient vector for noisy and motion blurred images［J］. IEICE Transactions on Information and Systems, 2007, 90(1): 182-190.

[10] [10] DO M N, VETTERLI M. The finite ridgelet transform for image representation［J］. IEEE Transactions on Image Processing, 2003, 12(1): 16-28.

[11] [11] CANDES E J. Ridgelets: theory and applications［D］. Stanford:Stanford University, 1998.

[12] [12] STARCK J L, MURTAGH F, CANDES E J, et al.. Gray and color image contrast enhancement by the curvelet transform ［J］. IEEE Transactions on Image Processing, 2003, 12(6): 706-717.

[13] [13] XU J, ZHANG K, XU M, et al. An adaptive threshold method for image denoising based on wavelet domain ［C］.Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, International Society for Optics and Photonics, 2009: 74954M-74954M-7.

[14] [14] CARASSO A S. Direct blind deconvolution ［J］. SIAM Journal on Applied Mathematics, 2001, 61(6): 1980-2007.

[15] [15] OLIVEIRA J P, FIGUEIREDO M A T, BIOUCAS-DIAS J M. Blind Estimation of Motion Blur Parameters for Image Deconvolution［M］.Berlin:Springer Berlin Heidelberg, 2007: 604-611.

[16] [16] KRAHMER F, LIN Y, MCADOO B, et al.. Blind image deconvolution: Motion blur estimation ［J］. IMA Preprints Series, 2006: 2133-5.

[17] [17] MOGHADDAM M E, JAMZAD M. Motion blur identification in noisy images using fuzzy sets ［C］.Proceedings of the Fifth IEEE International Symposium on Signal Processing and Information Technology, 2005: 862-866.

[18] [18] RICHARDSON W H. Bayesian-based iterative method of image restoration ［J］. Journal of the Optical Society of America, 1972, 62(1): 55-59.

[19] [19] MIGNOTTE M. A segmentation-based regularization term for image deconvolution［J］.IEEE Transactions on Image Processing, 2006, 15(7): 1973-1984..

[20] [20] SROUBEK F, MILANFAR P. Robust multichannel blind deconvolution via fast alternating minimization ［J］. IEEE Transactions on Image Processing, 2012, 21(4): 1687-1700.

[21] [21] SHI M ZH, XU T F, ZHANG K. Total variation image restoration for mixed blur in moving image［J］.Opt. Precision Eng., 2011, 19(8): 1973-1981.(in Chinese)

[22] [22] KRISHNAN D, FERGUS R. Fast image deconvolution using hyper-Laplacian priors ［J］. Advances in Neural Information Processing Systems, 2009, 22: 1-9.

[23] [23] MARTIN D, FOWLKES C, TAL D, et al.. A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics［C］.Proceedings Eighth IEEE International Conference on Computer Vision,ICCV 2001, 2: 416-423.