Perona P, Malik J. Scale-space and edge detection using anisotiop diffusion[J]. IEEE Transactions on Pattern Analysis and Machine In telligence, 1990,12 ( 7 ) :629- 639.
[2]
Donoho D L, Johnstone I M. Threshold selection foi wavelet shrinkane of noisy data [ A ] . In: Proceedinns of 16th Annual International Conference of the IEEE[C], Pscatawav, N J, USA, 1994,(1): 24-25.
[3]
Li X, Orchard M T. Spatially adaptive image denoising under overcom plete expansion [ A ]. In: Proceedings of IEEE Int ernational Conference on Image Process [C], Vancouver BC, Canada 2000: 300-303.
[4]
KingsSury N G. Complcx wavclcts for shift invariant analysis and filtering of signals [J] .Applicd and Computational Harmonic Analysis, 2001,10(3) : 234-253.
[5]
Kazubek M. Wavelet domain image denoising by thresholding and wiener filtering[J]. IEEE Signal Processing Letters, 2003, 10 (11 ) : 324-326.
[6]
Alvarez L,Lions P L, Morel J M. Image selective smoothing and edge detection by nonlinear diffusion [J] . SIAM, J-NumeticalAnalysis,1992,29(3) :845-866.
[7]
KingsSury N G. Imagc proccssing with complex wavelet[J]. Philosophical Transactions of the Royal Society, 1999,357(9): 543-560.
[8]
Shui Peng-lang. Image denoising algorithm via doubly local wiener filtering with directional windows in wavelet domain[J]. IEEE Signal Processing Letters, 2005,12(10) :681-684.
