[1] ZHENG De-zhong, CUI Fa-yi. New algorithm for image denoising using node threshold wavelet packet transform［J］. Optical Technique, 2009, 35(3): 330-333.

[2] CAO Jian-zhong, ZHOU Zuo-feng, TANG Yao, et al. Image denoising algorithm based on bilateral filtering and dual-tree complex wavelet［J］. Acta Photonica Sinica, 2010, 39(9): 1712-1715.

[3] LI Wan-gao, ZHAO Xue-mei. Multi-wavelet image denoising based on artifical bee colony algorithm［J］. Journal of Chongqing University of Posts and Telecommunication (Natural Science Edition), 2013, 25(4): 532-537.

[4] CHEN Fang-han, WANG Wen-sheng, YANG Kun, et al. Detection and recognition of infrared target based on the multiwavelet transform［J］. Acta Photonica Sinica, 2011, 40(2): 295-299.

[5] SHU Yuan-yang, WANG Min, LIN Fang-zhao, et al. Image noise reduction via geometric multi-scale ridgelet support vector transform and dictionary learning［J］. IEEE Transaction on Image Processing, 2013, 22(11): 4161-4169.

[6] LU Cheng-wu, SONG Yi-mei, SONG Guo-xiang. Nonlinear approximation of image based on monoscale orthonormal ridgelets frame［J］. Journal of Systems Engineering and Electronics, 2007, 18(4): 806-810.

[7] GUO Hui-na, CHENG Feng-min, MENG Ming-chuan. A method based on curvelet transform for color image denoising［C］. 2011 International Conference on Electrical and Control Engineering(ICECE), 2011: 2847-2849.

[8] DEVARAPU K V, MURALA S, KUMAR V. Denoising of ultrasound images using curvelet transform［C］. 2010 The 2nd International Conference on Computer and Automation Engineering(ICCAE), 2010, 3: 447-451.

[9] LU Ya-ning, GUO Lei, LI Hui-hui. Total variation based band-limited shearlets transform for image denoising［J］. Acta Photonica Sinica, 2013, 42(12): 1430-1435.

[10] ZENG You-wei, YANG Hui-xian, TANG Fei, et al. Improved image denoising algorithm of contourlet transform based on gray relational degree［J］. Journal of Computer Applications, 2013, 33(4): 1103-1107.

[11] ZHAO Zhi-peng, CEN Yi-gang, CHEN Xiao-fang.Sparse representation of signals based on wavelet domain Wiener filtering［J］. Journal of Applied Sciences, 2012, 30(6): 595-600.

[12] YI San-li, HE Jian-feng. Image denoising method based on BEMD and adaptive Wiener filter［J］.Computer Engineering and Application, 2013, 49(10): 156-158.

[13] RUDIN L, OSHER S, FATEMI E. Nonlinear total variation based noise removal algorithms［J］. Physica D, 1992, 60: 259-268.

[14] ELAD M. Sparse and redundant representation［M］. Springer Science+Business Media, 2010.

[15] CHAMBOLLE A. An algorithm for total variation minimization and application［J］. Jouranl of Mathematical Imaging and Vision, 2004, 20: 89-97.

[16] ROCKAFELLAR R. Convex analysis［M］. World Publishing Corporation, 2011.

[17] BECK A, TEBOULLE M. A fast iterative shrinkage-thresholding algorithm for linear inverse problems［J］. SIAM J.Imaging Sciences, 2009, 2(1): 183-202.