[1] 许淑华, 齐鸣鸣. 基于多尺度总体最小二乘的图像去噪［J］. 光子学报, 2010, 39(5): 856-960.

    XU Shu-hua, QI Ming-ming. Image denoising based on multi-scales total least squares［J］. Acta Photonica Sinica, 2010, 39(5): 956-960.

[2] 吴一全, 纪守新. 基于混沌粒子群优化的图像Contourlet阈值去噪［J］. 光子学报, 2010, 39(9): 1645-1651.

    WU Yi-quan, JI Shou-xin. Image contourlet threshold de-noising based on chaotic particle swarm optimization［J］. Acta Photonica Sinica, 2010, 39(9): 1645-1651.

[3] 吴一全, 侯雯, 吴诗婳. 基于复Contourlet域非线性扩散的图像去噪［J］. 电路与系统学报, 2012, 17(6): 111-116.

    WU Yi-quan, HOU Wen, WU Shi-hua. Image de-noising based on complex contourlet transformand nonlinear diffusion［J］. Journal of Circuits and Systems, 2012, 17(6): 111-116.

[4] 解凯, 张芬. 基于双正交基字典学习的图像去噪方法［J］. 计算机应用, 2012, 32(4): 1119-1121.

    XIE Kai, ZHANG Feng. Image denoising method based on dictionary learning with union of two orthonormal bases［J］. Journal of Computer Applications, 2012, 32(4): 1119-1121.

[5] 邓承志. 基于多尺度脊波字典的图像去噪算法［J］. 计算机工程, 2010, 36(23): 207-209.

    DENG Cheng-zhi. Image denoising algorithm based on multiscale ridgelet dictionary［J］. Computer Engineering, 2010, 36(23): 207-209.

[6] 曾军英, 甘俊英, 翟懿奎. Gabor字典及l0范数快速稀疏表示的人脸识别算法［J］. 信号处理, 2013, 29(2): 256-261.

    ZENG Jun-ying, GAN Jun-ying, ZHAI Yi-kui. Face recognition based on fast sparse representation of Gabor dictionary and l0 norm［J］. Journal of Signal Processing, 2013, 29(2): 256-261.

[7] AHARON M, ELAD M, BRUCKSTEIN A. K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation［J］. IEEE Transations on Image Processing, 2006, 54(11): 4311-4322.

[8] TROPP J A, GIBERT A C. Signal recovery from random measurements via orthogonal matching pursuit［J］. IEEE Transactions on Information Theory, 2007, 53(12): 4655-4666.

[9] JOST P V, ERGHEYNST P, FROSSARD P. Tree-based pursuit: algorithm and properties［J］. IEEE Trans on Signal Processing, 2006, 54(12): 4685-4697.

[10] MANCERA L, PORTILLA J. L0-norm-based sparse representation through alternate projection［C］. IEEE International Conference on Image Processing, Atlanta. USA, 2006: 2089-2092.

[11] CAI T T, WANG L. Orthogonal matching pursuit for sparse signal recovery with noise［J］. IEEE Transactions on Information Theory, 2011, 57(7): 4680-4688.

[12] SZLAM A, KAVUKCOUGLU K, YANN L C. Convolutional matching pursuit and dictionary training［EB/OL］. ［2010-10-3］. http: // arxiv. org / abs/ 1010.0422.

[13] 练秋生, 韩冬梅. 基于卷积稀疏编码和K-SVD联合字典的稀疏表示［J］. 系统工程与电子技术, 2012, 34(7): 1493-1498.

    LIAN Qiu-sheng, HAN Dong-mei. Sparse representation by dictionary combined convolutional sparse coding and K-SVD［J］. Systems Engineering and Electronics, 2012, 34(7): 1493-1498.

[14] DONG W S, LI X, ZHANG L, et al. Sparsity-based image denosing via dictionary learning and structural clustering［C］. IEEE Conference on Computer Vision and Pattern Recognition, Providence, USA, 2011: 457-464.

[15] 徐健, 常志国. 基于聚类的自适应图像稀疏表示算法及其应用［J］. 光子学报, 2011, 40(2): 316-320.

    XU Jian, CHANG Zhi-guo. Self-adaptive image sparse representation algorithm based on clustering and its application［J］. Acta Photonica Sinica, 2011, 40(2): 316-320.

[16] 宋长新, 马克, 秦川, 等. 结合稀疏编码和空间约束的红外图像聚类分割研究［J］. 物理学报, 2013, 62(4): 1-10.

    SONG Chang-xin, MA Ke, QIN Chuan, et al. Infrared image segmentation based on clutering combined with sparse coding and spatial constraints［J］. Acta Physica Sinica, 2013, 62(4): 1-10.

[17] 张丹莹, 李翠华, 李雄宗, 等. 一种基于去冗余字典的图像去噪算法［J］. 厦门大学学报(自然科学版), 2012, 51(4): 691-695.

    ZHANG Dan-ying, LI Cui-hua, LI Xiong-zong, et al. An image de-noising algorithm based on redundance removed dictionary［J］. Journal of Xiamen University(Natural Science), 2012, 51(4): 691-695.

[18] 叶敏超, 钱沄涛, 沈言浩. 基于聚类的图像稀疏去噪方法［J］. 信号处理, 2011, 27(10): 1593-1598.

    YE Min-chao, QIAN Yun-tao, SHEN Yan-hao. Clustering based sparse model for image denoising［J］. Journal of Signal Processing, 2011, 27(10): 1593-1598.

[19] 吴亚东, 孙世新. 基于二维小波收缩与非线性扩散的混合图像去噪算法［J］. 电子学报, 2006, 34(1):163-166.

    WU Ya-dong, SUN Shi-xin. A new hybrid image de-noising algorithm based on 2D wavelet shrinkage and nonlinear diffusion［J］. Acta Electronica Sinica, 2006, 34(1): 163-166.

[20] ELAD M, AHARON M. Image denoising via sparse and redundant representations over learned dictionaries［J］. IEEE Transactions on Image Processing, 2006, 15(12): 3736-3745.

[21] ENGAN K, SKRETTING K, HUSOY J H. Denoising of images using designed signal dependent frames and matching pursurt［C］. IEEE International Conference on Acoustics, Speech, Signal Processing, Philadelphia, USA, 2005, 653-656.

[22] 普运伟, 金炜东, 朱明, 等. 核模糊C均值算法的聚类有效性研究［J］. 计算机科学, 2007, 34(2): 207-210.

    PU Yun-wei, JIN Wei-dong, ZHU Ming, et al. On cluster validity for kernelized fuzzy C-mean Algorithm［J］. Computer Science, 2007, 34(2): 207-210.

[23] FRIEDMAN J, HASTIE T, FLING H H, et al. Pathwise coordinate optimization［J］. The Annals of Applied Statistics, 2007, 1(2): 302-332.