[1] [1] S. Mallat. A theory for multiresolution signal decomposition:the wavelet representation[J]. IEEE Trans. Pattern Anal. Machine Intell.,1989,11(7):674-693

[2] [2] C. Bouman,K. Sauer. A generalized Gaussian image model for edge-preserving MAP estimation [J]. IEEE Trans. Image Process.,1993,2(3):296-310

[3] [3] M. S. Crouse,R. D. Nowak,R. G. Baraniuk. Wavelet-based statistical signal processing using hidden Markov models [J]. IEEE Trans. Signal Process.,1998,46(4):886-902

[4] [4] J. Portilla,V. Strela,M. Wainwright et al.. Image denoising using scale mixture of Gaussians in the wavelet domain [J]. IEEE Trans. Image Process.,2001,12(11):1338-1351

[5] [5] Zhang Jingjing,Fang Yonghua. Novel denoising method for remote sensing image based on contourlet transform[J]. Acta Optica S inica,2008,28(3):462-466

[6] [6] S. G. Chang,B. Yu,M. Vetterli. Adaptive wavelet thresholding for image denoising and compression[J]. IEEE Trans. Image Process.,2000,9 (9):1532-1546

[7] [7] A. Achim,P. Tsakalides,A. Beserianos. SAR Image denoising via Bayesian wavelet shrinkage based on heavy tailed modeling[J]. IEEE Trans. Geosci. Remote Sensing,2003,41(8):1773-1784

[8] [8] Xie Hua,L. E. Pierce,F. T. Ulaby. SAR speckle reduction using wavelet denoising and Markov random field modeling[J]. IEEE Trans. Geosci. Remote Sensing,2002,40(10):2196-2212

[9] [9] Portilla Javier,Strela Vasily,Wainwright Martin J et al.. Image denoising using scale mixtures of Gaussians in the wavelet domain [J]. IEEE Trans. Image Process.,2003,12(11):1338-1351

[10] [10] O. E. Barndorff-nielesn. Normal inverse Gaussian distribution and stochastic volatility modeling[J]. Scand. J. Statistics,1997,24(1):1-13

[11] [11] O. E. Barndorff-nielesn,K. Prause. Apparent scaling[J]. Finance and Stochastics,2001,5(1):103-113

[12] [12] R. Jenssen,T. A. Oigard,T. Eltoft et al.. Sparse code shrinkage based on the normal inverse Gaussian density model [C]. Proc Int Workshop on Independent Component Analysis and Blind Signal Separation,San Diego,2001. 212-217

[13] [13] M. I. Bhuiyan,M. O. Ahmad,M. N. Swamy. Wavelet-based despeckling of medical ultrasound images with the symmetric normal inverse Gaussian prior[J]. Speech and Signal Process.,2007,721-724

[14] [14] Zhang Haijian,Chen Xiangdong,Wang Shihai. Adaptive wavelet denoising algorithm for pseudo-color infrared images [J]. Semiconductor Optoelectronics,2008,29(2):282-285

[15] [15] Wang Haihong,Zeng Ni,Lu Wei et al.. Edge detection of laser imaging radar based on wavelet transform and mathematical morphology[J]. Chinese J. Lasers,2008,35(6):903-906

[16] [16] S. M. Rahman,M. K. Hasan. Wavelet domain iterative center weighted median filter for image denoising[J]. Signal Process.,2003,83(5):1001-1012

[17] [17] Zhang Le,Jiang Wei. Application of multi-resolution analysis in anti-noise capability of auto-focusing algorithm[J]. Acta Optica Sinica,2007,27(12):2150-2154

[18] [18] Bai Junqi,Chen Qian. Algorithm for infrared image noise filtering based on anisotropic diffusion[J]. Acta Optica Sinica,2008,28(5):866-869

[19] [19] Y. Xu,B. Weaver,D. Healy. Wavelet transform domain filters:a spatially selective noise filtration technique[J]. IEEE Trans. Image Process.,1994,3(6):747-758

[20] [20] R. R. Coifman,D. L. Donoho. Translation-invariant denoising[C]. Wavelets and Statistics,Springer Lecture Notes in Statistics 103 ,New York :Springer,1995,125-150