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

[2] KRISHNAN D,FERGUS R.Fast image deconvolution using hyper-Laplacian priors［C］. NIPS,2009:1-9.

[3] HACOHEN Y,FATTAL R,LISCHINSKI D. Image upsampling via texture hallucination［C］. Proceedings of the IEEE International Conference on Computational Photography (ICCP), 2010:1-8.

[4] CHO T S,ZITNICH C L,JOSHI N,et al.. Image Restoration by matching gradient distributions.［J］.IEEE Tran. on Pattern Analysis and Machine Intelligence.2012,34(4):683-694.

[5] WEN B, ZHANG Q H,ZHANG J L. Realization of iterative blind image restoration by self deconvolution and increment Wiener filter ［J］.Opt. Precision Eng., 2012,34(4):683-694. (in Chinese)

[6] ROTH S,BLACK M J. Fields of experts［J］. International Journal of Computer Vision,2009, 82(2):205-229.

[7] WEISS,FREEMAN W T. What makes a good model of natural images ［C］. CVPR, 2007:1-8.

[8] CHO T S,JOSHI N,ZITNICK C L,et al.. A content-aware image prior ［C］.CVPR, 2010:169-176.

[9] SCHMIDT U,GAO Q,ROTH S. A generative perspective on MRFs in low-level vision ［C］. CVPR,2010:1751-1758.

[10] ZOU M Y. Deconvolution and Signal Recovery ［M］.Beijing: Nation Defense Industry Press,2001:35-39.(in Chinese)

[11] TAPPEN M F,LIU C,ADELSON E H,et al.. Learning Gaussian conditional random fields for low-level vision ［C］.CVPR, 2007:1-8.

[12] MEER P. Emerging Topics in Computer Vision［M］. Prentice Hall,2004.

[13] ROTH S,BLACK M J. Fields of experts:A frame of experts for learning image priors［C］.CVPR,2005:860-867.

[14] SCHMIDT U,SCHELTEN K,ROTH S. Bayesian Deblurring with Integrated Noise Estimation ［C］.CVPR,2011:2625-2632.

[15] ZENG J Y, SU X Y. Hype rboloidal catadioptric omnidirectioal imaging system［J］.Acta Optica Sinica, 2003,23(9):1138-1142. (in Chinese)