[1] [1] HE X H, ZHANG J, TAO Q CH, et al.. 3-D microscopical image restoration based on anisotropic Markov random field in wavelet domain［J］. Opt. Precision Eng., 2008,16(4):733-739. (in Chinese)

[2] [2] LI SH, ZHANG B, SUN H. Real-time restoration for motion blurred in aerial E-O imaging system［J］. Opt.Precision Eng., 2007,15(8):1287-1292. (in Chinese)

[3] [3] YIN B, WANG Y B, LIU W. Blur identification of the degraded images by neural network［J］. Optical Technique, 2006,32(1):138-140. (in Chinese)

[4] [4] ZHOU Q, YAN G ZH, WAN G W. Application of correlation analysis to parameter recognition for blur image［J］. Opt. Precision Eng., 2007,15(6):988-995. (in Chinese)

[5] [5] MAYNTZ C, AACH T, KUNZ D. Blur identification using a spectral inertial tensor and spectral zeros［C］. IEEE Proceedings of the 1999 International Conference on Image Processing,1999,2:885-889.

[6] [6] REKLEITIES I M. Optical flow recognition from the power spectrum of a single blurred image［C］. IEEE Proceedings of the 1996 International Conference on Image Processing, 1996,3:791-794.

[7] [7] SAVAKIS A E, TRUSSEL H J. Blur identification by residual spectral matching［J］. IEEE Trans. Image Proc., 1993,2:141-151.

[8] [8] ZOU M Y. Deconvolution and Signal Convey［M］. Beijing: National Defense Industry Press, 2001. (in Chinese)

[9] [9] YITZHAKY Y, KOPEIKA N S. Identification of blur parameters from motion blurred images［J］. Graphical Models and Image Processing, 1997,59(5):310-320.

[10] [10] WANG R H. Digital Approximation［M］. Beijing: Higher Education Press, 1999.(in Chinese)

[11] [11] FORESEE F D, HAGAN M T. Gauss-Newton approximation to Bayesian regularization［C］. Proceedings of the 1997 International Joint Conference on Neural Networks,1997:1930-1935.