[1] [1] Mallat S.A Wavelet Tour of Signal Processing[M].Orlando:Academic Press,1999

[2] [2] Daubechies Ⅰ.Ten Lectures on Wavelets[M].philadelphia,PA:SIAM,1992

[3] [3] Le Pennec E,Mallat S.Sparse Geometric Image Representations With Bandelets[J].IEEE Trans.on Image Process,2005,14(4):423-438

[4] [4] Candes E J,Donoho D L.Continuous curvelet transform:Ⅱ.Discretization and frames[J].Applied and Computational Harmonic Analysis,2005,19(2):198-222

[5] [5] Do M N,Vetterli M.The finite ridgelet transform for image representation[J].IEEE Trans.on Image Process,2003,12(1):16-28

[6] [6] Do M N,Vetterli M.The Contourlet Transform:An efficient directional multiresolution image representation[J].IEEE Trans.Image Process,2005,14(12):2091-2106

[7] [7] Jean-Luc Starck,Candes E J,Donoho D L.The curvelet transform for image denoising[J].IEEE Trans.on Image Process,2002,11(6):670-684

[8] [8] Lu Y,Do M N.A new contourlet transform with sharp frequency localization[C] //Proc.of IEEE Int.Conf.on Image Proc.Atlanta,USA:[s.n.],2006:1629-1632

[9] [9] Burt P J,Adelson E H.The laplacian pyramid as a compact image code[J].IEEE Trans.on Commun,1983,31(4):532-540

[10] [10] Bamberger R H,Smith M.A filter bank for the directional decomposition of images:theory and design[J].IEEE Trans.Signal Proc,1992,40(4):882-893

[11] [11] Do M N.Contourlet_toolbox[EB/OL].http://www.ifp.uiuc.edu/～minhdo/publications/contourlet_txform.pdf,2005-12

[12] [12] Jin W,Pan Y,Wei B,el al.Window shrinkage contourlet coefficients for image denoising[J].Journal of Harbin Institute of Technology (New Series),2005,12(5):1-4