[1] Mallat S. A Wavelet Tour of Signal Processing [M]. Orlando:Academic Press,1999.
[2] Daubechies I. Ten Lectures on Wavelets [M]. Philadelphia, PA:SIAM,1992.
[3] Le Pennec E,Mallat S. Sparse geometric image representations with bandelets [J]. IEEE Transactions on Image Processing (S0041-624X),2005,14(4):423-438.
[4] Candes E J,Donoho D L. Continuous curvelet transform:II. discretization and frames [J]. Applied and Computational Harmonic Analysis(S1063-5203),2005,19(2):198-222.
[5] Do M N,Vetterli M. The contourlet transform: an efficient directional multiresolution image representation [J]. IEEE Transactions on Image Processing (S0041-624X),2005,14(12):2091-2106.
[6] Burt P J,Adelson E H. The Laplacian pyramid as a compact image code [J]. IEEE Transactions on Communications (S0090-6778),1983,31(4):532-540.
[7] Bamberger R H,Smith M J T. A filter bank for the directional decomposition of images: theory and design [J]. IEEE Transactions on Signal Processing(S1053-587X),1992,40(4):882-893.
[9] Chen D,Li Q. The use of complex contourlet transform on fusion scheme [C]// Proceedings of World Academy of Science, Engineering and Technology,Prague, Czech Republic,August 26-28, 2005:342-347.
[10] Selesnick I W,Baraniuk R G,Kingsbury N C. The dual-tree complex wavelet transform [J]. IEEE Signal Processing Magazine(S0740-7647),2005,22(6):123-151.
[12] DAI Shao-wei,SUN Yan-kui,TIAN Xiao-lin,et al. Image denoising based on complex contourlet transform [C]// Proceedings of International Conference on Wavelet Analysis and Pattern Recognition,Beijing, China,Nov 2-4, 2007,4:1742-1747