This package collected the matlab codes of LRMR[1], LRTV[2] and LLRSSTV[3] for hyperspectral image mixed noise removal.

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% If you use the code, please refer to related papers:
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[1] H. Zhang, W. He, L. Zhang, H. Shen, and Q. Yuan, ˇ°Hyperspectral Image Restoration Using Low-Rank Matrix Recovery,ˇ± IEEE Trans. Geosci. Remote Sens. , vol. 52, no. 8, pp. 4729-4743, Aug. 2014.

[2] W. He, H. Zhang, L. Zhang, and H. Shen, ˇ°Total-Variation-Regularized Low-Rank Matrix Factorization for Hyperspectral Image Restoration,ˇ± IEEE Trans. Geosci. Remote Sens. , vol. 54, no. 1, pp. 178-188, Jan. 2016.

[3] W. He, H. Zhang, H. Shen, and L. Zhang, ˇ°Hyperspectral Image Denoising Using Local Low-Rank Matrix Recovery and Global Spatial-Spectral Total Variation,ˇ± IEEE J. Sel.Topics Appl. Earth Observ. Remote Sens., vol. 11, no. 3, pp. 713-729,  2018.
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% Simulated_comparison.m is the main function of our denoising algorithm
% If you find any bug, please contact weihe1990@whu.edu.cn (wei.he@riken.jp)