• Acta Photonica Sinica
  • Vol. 43, Issue 3, 310001 (2014)
WU Yi-quan* and LI Li
Author Affiliations
  • [in Chinese]
  • show less
    DOI: 10.3788/gzxb20144303.0310001 Cite this Article
    WU Yi-quan, LI Li. Image Denoising Using Kernel Fuzzy Clustering and Regularization on Sparse Model[J]. Acta Photonica Sinica, 2014, 43(3): 310001 Copy Citation Text show less
    References

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

    [6] 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] 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] 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] 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] 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] 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] 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] 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.

    WU Yi-quan, LI Li. Image Denoising Using Kernel Fuzzy Clustering and Regularization on Sparse Model[J]. Acta Photonica Sinica, 2014, 43(3): 310001
    Download Citation