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

[2] Zhang Tianxu, Hong Hanyu, Sun Xianghua, et al.. Restoring turbulence-degraded images based on estimation of turbulence point spread function values [J]. Acta Automatica Sinica, 2003, 29(4): 573-581.

[3] Hong Hanyu, Zhang Tianxu, Yu Guoliang. Iterative multi-frame restoration algorithm of turbulence-degraded images based on Poisson model [J]. J Astronautics, 2004, 25(6): 649-654.

[4] Hong Hanyu, Zhang Tianxu. Investigation of restoration algorithm for degraded images caused by aero-optics effects using multi-resolution blind deconvolution [J]. Chinese J Computer, 2004，27(7): 952-963.

[5] Yu Guoliang, Zhang Tianxu, Hong Hanyu, et al.. Investigation on restoration method for turbulence-degraded image using Bayes theorem [J]. J Image and Graphics, 2005, 10(9): 1171-1177.

[6] Zhang Kun, Hong Hanyu, Sun Xiechang, et al.. Survey of image deconvolution from wave-front sensing [J]. Infrared and Laser Engineering, 2007, 36(1): 131-134.

[7] Ao Jinrong, Hu Shaohai. Image restoration algorithm based on blind convolution filter [J]. Computer Engineering and Applications, 2007, 43(S): 44-46.

[8] Xie Shenghua, Zhang Qiheng, Su Ding. Study on image restoration method based on prior information and regularization technique [J]. Chinese J Quantum Electronics, 2007, 24(4): 429-433.

[9] Hong Hanyu, Lin Zhimin, Zhang Xiuhua. Restoration algorithm for infrared turbulence-degraded images with complex background [J]. Laser & Infrared, 2008, 38(12): 1270-1273.

[10] Zhang Yaxin, Geng Zexun, Chen Bo, et al.. Image restoration based on NSWT and point spread function estimation [J]. J Geomatics Science and Technology, 2008, 25(1): 64-67.

[11] Fang Shuai, Huang Honghua, Huang Yinbo, et al.. Image restoration based on atmospheric modulation transfer function [J]. Infrared and Laser Engineering, 2008, 37(S): 642-645.

[12] Hong Hanyu. Fast restoration for turbulence-degraded images based on second-order weighted difference [J]. Computer Engineering and Applications, 2008, 44(31): 15-19.

[13] Huang Jianming, Shen Mangzuo. Blind deconvolution of atmospheric turbulence-degraded images based on total variation [J]. Optical Technique, 2008, 34(4): 525-531.

[14] Chang Xiang, Li Rongwang, Xiong Yaoheng. Predicted space-varying point spread function model for anisoplanatic adaptive optics imaging [J]. Acta Optica Sinica, 2011, 31(12): 1201001.

[15] Li Qingfei, Zhu Zhichao, Fang Shuai. Research on atmospheric turbulence degraded image restoration [J]. J Heifei University of Technoloty, 2011, 34(1): 80-82.

[16] Yang Yanwei, Xu Rong, Niu Wei, et al.. A multi-frame blind image restoration algorithm for atmospheric turbulence [J]. J Spacecraft TT & C Technology, 2012, 31(5): 36-39.

[17] Zhu Hao, Lu Yu, Wu Qinzhang. Blind image deconvolution subject to bandwidth and total variation constraints [J]. Opt Lett, 2007, 32(17): 2550-2552.

[18] Charles L Matson, Kathy Borelli, Stuart Jefferies, et al.. Fast and optimal multiframe blind deconvolution algorithm for high-resolution ground-based imaging of space objects [J]. Appl Opt, 2009, 48(1): A75-A92.

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

[20] Mamdouh F Fahmy, Gamal M Abdel Raheem, Usama S Mohamed, et al.. A new fast iterative blind deconvolution algorithm [J]. J Signal and Information Processing, 2012, 3(1): 98-108.

[21] Rao Ruizhong. Atmospheric Optics of Modern Times [M]. Beijing: Science Press, 2012.

[22] L C Andrews. Field Guide to Atmospheric Optics [M]. Bellingham: SPIE Press, 2007.

[23] D L Fried. Optical resolution through a randomly inhomogeneous medium for very short exposures [J]. J Opt Soc Am, 1966, 56(10): 1372-1379.