[1] Rao Ruizhong. Light Propagation in the Turbulent Atmosphere[M]. Hefei: Anhui Science & Technology Publishing House, 2005.

[2] Omri Shacham, Oren Haik, Yitzhak Yitzhaky. Blind restoration of atmospherically degraded images by automatic best step-edge detection[J]. Pattern Recogn Lett, 2007, 28(15): 2094-2103.

[3] X Zhu, P Milanfar. Removing atmospheric turbulence via space-invariant deconvolution[J]. IEEE Trans Pattern Analysis and Machine Intelligence, 2013, 35(1): 157-170.

[4] Ayers G A, Dainty J C. Iterative blind deconvolution method and its applications[J]. Opt Lett, 1988, 13(7): 547-549.

[5] Shao Mingsheng, Wang Qihua. Blurred image restoration based on frog leaping algorithm[J]. Laser & Optoelectronics Progress, 2012, 49(2): 021003.

[6] Zhou Feng, Ye Ran, Li Guangwei, et al.. Image restoration in a wavefront coding imaging system with a wide field of view[J]. Acta Optica Sinica, 2010, 30(2): 388-393.

[7] Shao Hui, Wang Jianye, Xu Peng. Turbulence-degraded image restoration method using the second-order accelerated Richardson-Lucy algorithm based on Huber regularization[J]. Chinese Journal of Quantum Electronics, 2012, 29(6): 657-664.

[8] Huang Jianming, Shen Mangzuo. Multiframe blind deconvolution restoration of atmospheric turbulence-degraded images based on noise characteristic[J]. Acta Optica Sinica, 2008, 28(9): 1686-1690.

[9] T Schulz. Multiframe blind deconvolution of astronomical images[J]. J Opt Soc Am A, 1993, 10(5): 1064-1073.

[10] Sheppard D G, Hunt B R, Marcellin M W. Iterative multi frame superresolution algorithms for atmospheric-turbulence-degraded imagery[J]. J Opt Soc Am A, 1998, 15(4): 978-992.

[11] Li Tiecheng, Tao Xiaoping, Feng Huajun, et al.. MTF calculation and image restoration based on slant-edge method[J]. Acta Optica Sinica, 2010, 30(10): 2891-2897.

[12] Tao Xiaoping, Feng Huajun, Zhao Jufeng, et al.. A total-variation majorization-minimization sectioned restoration algorithm with gradient ringing metric image quality assessment[J]. Acta Optica Sinica, 2009, 29(11): 3025-3030.

[13] Stefan Harmeling, Michael Hirsch, Suvrit Sra, et al.. Online blind deconvolution for astronomical imaging[C]. ICCP, 2009.

[14] V Katkovnik, D Paliy, K Egiazarian. Frequency domain blind deconvolution in multiframe imaging using anisotropic spatially-adaptive denoising[C]. EUSIPCO, 2006.

[15] M Shimizu, S Yoshimura, M Tanaka, et al.. Superresolution from image sequence under influence of hot-air optical turbulence[C]. CVPR, 2008.

[16] Zou Mouyan. Deconvolution and Signal Recovery[M]. Beijing: National Defence Industry Press, 2004.

[17] F Sroubek, P Milanfar. Robust multichannel blind deconvolution via fast alternating minimization[J]. Image Processing, 2012, 21(4): 1687-1700.

[18] Kanaev A, Miller C W. Confidence measures of optical flow for multi-frame image reconstruction[C]. Computational Optical Sensing and Imaging, 2012.

[19] Dongfeng Shi, Chengyu Fan , Hong Shen, et al.. Restoration of atmospheric turbulence degraded images[J]. Opt Commun, 2011, 284(24): 5556-5561.

[20] Luo Lin, Wang Li, Cheng Weidong, et al.. Approaches to convergence enhancement of multiframe blind deconvolution of astronomical images[J]. Acta Physica Sinica, 2006, 55(12): 6708-6714.

[21] B R Frieden. Probability, Statistical Optics, and Data Testing[M]. Berlin: Springer-Verlag, 1983.

[22] D A Hope, S M Jefferies.Compact multiframe blind deconvolution[J]. Opt Lett, 2011, 36(6): 867-869.

[23] Andrews H C, Hunt B R. Digital Image Restoration[M]. Englewood Cliffs: Prentice Hall, 1977.

[24] J M Bardsley, C R Vogel. A nonnegatively constrained convex programming method for image reconstruction[J]. SIAM J Sci Comput, 2004, 25(4): 1326-1343.

[25] E F Y Hom, F Marchis, T K Lee, et al.. AIDA: an adaptive image deconvolution algorithm with application to multi-frame and three-dimensional data[J]. J Opt Soc Am A, 2007, 24(6): 1580-1600.

[26] Li Yongle, Lou Jingtao, Zhang Maojun, et al.. Image restoration for catadioptric defocus blur based on omni-total variation minimization[J]. Acta Optica Sinica, 2013, 33(8): 0811006.