[1] Mihcak M K, Kozintsev I, Ramchandran K. Low-complexity image denoising based on statistical modeling of wavelet coefficients[J]. IEEE Signal Processing Letters, 1999, 6(12): 300-303.
[2] Chang S G, Yu B, Vetterli M. Spatially adaptive wavelet thresholding with context modeling for image denoising[J]. IEEE Transactions on Image Processing, 2000, 9(9): 1522-1531.
[3] Mihcak M K, Kozintsev I, Ramchandran K. Spatially adaptive statistical modeling of wavelet image coefficients and its application to denoising[A]. Acoustics, Speech, and Signal Processing, 1999. Proceedings, 1999 IEEE International Conference[C]. 1999,6.3253-3256.
[4] Romberg J K, Choi H, Baraniuk R. Bayesian tree-structured image modeling using wavelet-domain hidden Markov model[A]. in Proc. SPIE[C]. Denver, CO. 1999,3816.31-44.
[5] Fan Guo-liang, Xia Xiang-gen. Image denoising using a local contextual hidden markov model in the wavelet domain[J]. IEEE Signal Processing Letters , 2001, 8(5 ):125-128.
[6] Fan G, Xia Xiang-gen. Wavelet-based statistical image processing using Hidden Markov Tree model[A]. in Proc 34th Annu Conf Information Sciences and Systems[C].Princeton, NJ, 2000.