• Journal of Infrared and Millimeter Waves
  • Vol. 35, Issue 5, 634 (2016)
WU Xiong-Zhou* and LI Yue-Hua
Author Affiliations
  • [in Chinese]
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    DOI: 10.11972/j.issn.1001-9014.2016.05.019 Cite this Article
    WU Xiong-Zhou, LI Yue-Hua. Modified adaptive sparse representation denoising algorithm based on difference threshold[J]. Journal of Infrared and Millimeter Waves, 2016, 35(5): 634 Copy Citation Text show less
    References

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    [3] Wang J, Cai J F, Shi Y, et al. Incoherent dictionary learning for sparse representation based image denoising[C].[S.l.]: 2014 IEEE International Conference on Image Processing (ICIP), 2014:4582-4586.

    [4] Li T, Wang W, Xu L, et al. Image denoising using low-rank dictionary and sparse representation[C].[S.l.]:2014 Tenth International Conference on Computational Intelligence and Security, 2014:228-232.

    [5] Zhang Z, Xu Y, Yang J, et al. A survey of sparse representation: algorithms and applications[J]. Access IEEE, 2015, 3:11.

    [6] Raja H, Bajwa W U. A convergence analysis of distributed dictionary learning based on the K-SVD algorithm[C].[S.l]:2015 IEEE International Symposium on Information Theory (ISIT), 2015:2186-2190.

    [7] Zhang Y Q, Xiao J S, Shuhong L I, et al. Learning block-structured incoherent dictionaries for sparse representation[J]. Sciece China Information Sciences, 2015, 58(10):1-15.

    WU Xiong-Zhou, LI Yue-Hua. Modified adaptive sparse representation denoising algorithm based on difference threshold[J]. Journal of Infrared and Millimeter Waves, 2016, 35(5): 634
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