［1］Simoncelli E P, Adelson E H. Noise removel via Bayesian wavelet coring [A]. In: Proceedings IEEE International Conference on Image Processing [C]. Lausanne, Switzerland,1996:379～382.
[2]
［3］Mihcak K, Kozintsev I, Ramchandran K et al. Low-complexity image denoising based on statistical modeling of wavelet coefficients[J]. IEEE Transactions on Signal Processing, 1999,47(6): 300～303.
[3]
［5］Moulin P, Liu J. Analysis of multiresolution image denoising schemes using a generalized Gaussian and complexity priors[J].IEEE Transactions Information Theory. 1999, 45(3): 909～919.
[4]
［2］Ghael S P, Sayeed A M, Baraniuk R G. Improved wavelet denoising via empirical Wiener filtering[A]. In: Proceedings of SPIE, Mathematical Imaging[C]. San Diego, CA, USA,1997:389～399.
[5]
［4］Portilla J, Simoncelli E. Image denoising via adjustment of wavelet coefficient magnitude correlation [A]. In: Proceedings 7th International Conference on Image Processing [C].Vancouver, Canada. 2000:10～ 13.
[6]
［6］Han J, Kamber M. Data mining: Concepts and techniques[M].San Fransisco,CA,USA: Morgan Kaufmann Publishers, 2000:335～398.
