[1] [1] Sun L B, Cho S Y, Wang J, et al. Good image priors for non-blind deconvolution［C］. European Conference on Computer Vision, 2014, 8692: 231-246.

[2] [2] Zhao B, Zhang W S, Ding H. Novel image deblurring algorithm based on Richardson-Lucy［J］. Computer Engineering & Applications, 2011, 47(34): 1-4.

[3] [3] Bell A J, Sejnowski T J.An information-maximization approach to blind separation and blind deconvolution［J］. Neural Computation, 1995, 7(6): 1129-1159.

[4] [4] Liu S G, Wang H B, Wang J, et al. Blur-kernel bound estimation from pyramid statistics［J］. IEEE Transactions on Circuits and Systems for Video Technology, 2016, 26(5): 1012-1016.

[5] [5] Kumar A.Deblurring of motion blurred images using histogram of oriented gradients and geometric moments［J］. Signal Processing: Image Communication, 2017, 55: 55-65.

[6] [6] Shan Q, Jia J Y, Agarwala A. High-quality motion deblurring from a single image［J］. ACM Transaction on Graphics, 2008, 27(3): 731-740.

[7] [7] Rudin L I, Osher S, Fatemi E. Nolinear total variation based noise removal algorithm［J］. Physica D: Nonlinear Phenomena,1992, 60(1/2/3/4): 259-268.

[8] [8] Wang Y L, Yang J F, Yin W T, et al. A new alternating minimization algorithm for total variation image reconstruction［J］. SIAM Journal on Image Sciences, 2008, 1(3): 248-272.

[9] [9] Osher S, Burger M, Goldfarb D, et al. An iterative regularization method for total variation-based image restoration［J］. Multiscale Modeling & Simulation, 2005, 4(2): 460-489.

[10] [10] Dong W S, Shi G M, Li X. Nonlocal image restoration with bilateral variance estimation: A low-rank approach［J］. IEEE Transactions on Image Processing, 2013, 22(2): 700-711.

[11] [11] Ji H, Liu C G, Shen Z W, et al. Robust video denoising using low rank matrix completion［C］∥Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010, 23: 1791-1798.

[12] [12] Ji H, Huang S B, Shen Z W, et al, Robust video restoration by joint sparse and low rank matrix［J］. SIAM Journal on Imaging Sciences, 2011, 4(4): 1122-1142.

[13] [13] Wang C, Yang F, Li J. Blind recovery method of motion blurred Image Based on Combining L1/L2 norm with high order and low order total variation［J］. Laser & Optoelectronics Progress, 2018, 55(4): 041015.

[14] [14] Krishnan D, Tay T, Fergus R. Blind deconvolution using a normalized sparsity measure［C］∥Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2011: 233-240.

[15] [15] Wang G D, Pan Z K, Liu C L, et al. Mixed data term based variation method for motion deblurring［J］. Chniese Journal of Scientific Instrument, 2013, 34(7): 1552-1558.

[16] [16] Gao Y, Yun L J, Shi J S, et al. Enhancement dark channel algorithm of fog image based on the TV model［J］. Chinese Journal of Lasers, 2015, 42(8): 0809001.

[17] [17] Su Z M, Zhu S M, Lv X, et al. Image restoration using structured sparse representation with a novel parametric data-adaptive transformation matrix［J］. Signal Processing: Image Communication, 2017, 52: 151-172.

[18] [18] Qu Y, Koschan A, Abidi M. Robust penalty-weighted deblurring via kernel adaption using single image［J］. Journal of Visual Communication and Image Representation, 2016, 41: 109-122.

[19] [19] Yin S B, Wang Y B, Li D P, et al. Fast blind restoration for microscopic visual defocused images based on two guided filterings［J］. Acta Optica Sinica, 2017, 37(4): 0410002.

[20] [20] Dong J X, Pan J S, Su Z X. Blur kernel estimation via salient edges and low rank prior for blind image deblurring［J］. Signal Processing: Image Communication, 2017, 58: 134-145.

[21] [21] Perona P, Malik J.Scale-space and edge detection using anisotropic diffusion［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1990, 12(7): 629-639.

[22] [22] Alvarez L, Lions P L, Morel J M. Image selective smoothing and edge detection by nonlinear diffusion.II［J］. SIAM Journal on Numerical Analysis, 1992, 29(3): 845-866.

[23] [23] Levin A, Fergus R, Durand F, et al. Image and depth from a conventional camera with a coded aperture［J］. ACM Transactions Graphics, 2007, 26(3): 70.

[24] [24] Kundur D, Hatzinkos D. On the use of lyapunov criteria to analyze the convergence of blind deconvolution algorithms［J］. IEEE Transactions on Signal Processing, 1998, 46(11): 2918-2925.

[25] [25] Zhang X Q, Burger M, Bresson X, et al. Bregmanized nonlocal regularization for deconvolution and sparse reconstruction［J］. SIAM Journal on Imaging Sciences, 2010, 3(3): 253-276.

[26] [26] Wang Z, Bovik A C, Sheikh H R, et al. Image quality assessment: from error visibility to structural similarity［J］. IEEE Transactions on Image Processing, 2004, 13(4): 600-612.

[27] [27] 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.

[28] [28] Krishnan D, Tay T, Fergus R. Blind deconvolution using a normalized sparsity measure［C］∥Proceedings of IEEE Conference, 2011: 233-240.

[29] [29] Cho S, Lee S. Fast motion deblurring［J］. ACM Transactions on Graphics, 2009, 28(5): 145: 1-8.

[30] [30] Xu L, Jia J Y. Two-phase kernel estimation for robust motion deblurring［C］. European Conference on Computer Vision, 2010: 157-170.