1R.C. Gonzalez, R.E. Woods, Digital Image Processing, Second Edition, Prentice Hall, 2002.
2W.K. Pratt, Digital Image Processing: PIKS Inside, 3ra ed., John Wiley & Sons, Inc., 2001.
3S.W. Perry, Adaptive image restoration: perceptron based neural network model and algorithms, Ph.D. Thesis, School of Electrical and Information Engineering University of Sidney, Australia, 1999.
4S.K. Smith, Digital Signal Processing: a Practical Guide for Engineers and Scientists, Newnes, 2003.
5J.J. Zhang, Q. Wang, A new regularization method for bi-level image restoration, ICALIP2008, 2008.
6R. Srivastava, H. Parthasarthyt, J.R.P. Guptat, D.R. Choudharyl, Image restoration from motion blurred image using PDEs formalism, 2009 IEEE International Advance Computing Conference, India, 2009.
7J.G. Sun, L.H. Wu, Q. Gui, An improved multiscale maximum entropy image restoration algorithm, in: Proceedings of the First International Conference on Innovative Computing, Information and Control (ICICIC'06), 2006.
8Y. Abe, Y. liguni, Fast computation of the high resolution image restoration by using the discrete cosine transform, ICASSP 2007, 2007.
9A.K. Seghouane, Model selection criteria for image restoration, IEEE Transactions on Neural Networks 20 (2009).
5FU ShuJun 1,2,3 , ZHANG CaiMing 2 & TAI XueCheng 3,4 1 School of Mathematics, Shandong University, Jinan 250100, China,2 School of Computer Science and Technology, Shandong University, Jinan 250101, China,3 School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore 639798, Singapore,4 Department of Mathematics, University of Bergen, Bergen 5008, Norway.Image denoising and deblurring: non-convex regularization, inverse diffusion and shock filter[J].Science China(Information Sciences),2011,54(6):1184-1198. 被引量：8
