[1] Donoho D L,Johnstone I M.Ideal spatial adaptation via wavelet shrinkage.Biometrika,1994,81(3):425~455
[2] Donoho D L,Johnstone I M.Adapting to unknown smoothness via wavelet shrinkage.Journal of the American Statistical Assoc,1995,90(432):1200~1224
[3] Chang S G,Yu B,Vetterli M.Adaptive wavelet thresholding for image denoising and compression.IEEE Trans Image Processing, 2000,9(9):1532~1546
[4] Mihcak M K,Kozintsev I,Ramchandran K,et al.Low-complexity image denoising based on statistical modeling of wavelet coefficients.IEEE Signal Processing Letters, 1999, 6(12):300~303
[5] Jin F,Fieguth P,Winger L,et al.Adaptive wiener filtering of noisy image and image sequences.Proc of the IEEE International Conference on Image Processing (ICIP′03),2003,3:349~352
[6] Rahman S M,Hasan M K.Wavelet-domain iterative center weighted median filter for image denoising.Signal Processing,2003,83(5):1001~1012
[11] Lee J S.Digital image enhancement and noise filtering by use of local statistics.IEEE Trans Pat Anal Mach Intell,1980,PAMI-2:165~168