[1] CHANG S Grace, YU Bin, VETTERLI Martin. An adaptive wavelet thresholding for image denoising and compression [J]. IEEE Transactions on Image Processing, 2000: 1532-1546. [2] DO M N, VETTERLI M. The contourlet transform: an efficient directional multiresolutional image representation [J]. IEEE Transactions on Image Processing, 2005, 14(12): 2091-2106. [3] DA Cunha A L, ZHOU J, DO M N. The nonsubsampled contourlet transform: theory, design, and applications [J]. IEEE Transactions on Image Processing, 2006, 15(10): 3089-3101.[4] ESLAMI R, RADHA H. Translational-invariant contourlet transform and its application to image denoising [J]. IEEE Transactions on Image Processing, 2006, 15(11): 3362-3374.[5] Po D D Y, Do M N. Directional multiscale modeling of images using the contourlet transform [J]. IEEE Transactions on Image Processing, 2006, 15(6): 1610-1620.[6] KANITHI Anil Kumar. Study of spatial and transform domain filters for efficient noise reduction [D]. National Institute of Technology, India, 2011. [7] STEIDL Gabriele, WEICKERT Joachim. Relations between soft wavelet shrinkage and total variation denoising[C]//LNCS 2449, 2002: 198-205.[8] YAN Jie, LU Wusheng. Image denoising by generalized total variation regularization and least squares fidelity [J]. Multidimensional Systems and Signal Processing, 2013. [9] OSHER S, SOLE A, VESE L. Image decomposition and restoration using total variation minimization and the H-1 Norm [J]. SIAM Journal of Multiscale Modeling and Simulation, 2003, 1(3): 350-369.[10] WANG Y, YANG J, YIN W, ZHANG Y. A new alternating minimization algorithm for total variation image reconstruction [J]. SIAM Journal on Imaging Sciences, 2008, 1(3): 248-272.[11] HUY, JACOB M. Higher degree total variation (HDTV) regularization for image recovery [J]. IEEE Transactions on Image Processing, 2012, 21(5): 2559-2571. |