Chinese Optics Letters, Volume. 4, Issue 10, 573(2006)

Blind noisy image separation based on a new robust independent component analysis network

[in Chinese]1 and [in Chinese]2,3
Author Affiliations
  • 1Department of Computer Science and Technology, Northwestern Polytechnical University, Xi'an 710072
  • 2Department of Applied Mathematics, Northwestern Polytechnical University, Xi'an 710072
  • 3Key Laboratory of Education Ministry for Image Processing and Intelligent Control, Huazhong University of Science and Technology, Wuhan 430074
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    References(11)

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    [5] [5] S. Pandey, N. Billor, and A. Turkmen, Int. Conf. on Statistics, Combinatorics, Mathematics and Applications (2005).

    [6] [6] M. Hubert, P. J. Rousseeuw, and K. Vanden Branden, Technometrics 47, 64 (2005).

    [7] [7] P. J. Rousseeuw and K. Van Driessen, Technometrics 41, 212 (1999).

    [8] [8] S. Cruces, L. Castedo, and A. Cichocki, Neurocomputing 49, 87 (2002).

    [9] [9] A. Hyvarinen, IEEE Trans. NN 10, 626 (1999).

    [10] [10] A. Cichocki and S. Amari, Adaptive Blind Signal and Image Processing (John Wiley and Sons, Cichester, 2002).

    [11] [11] X. Giannakopoulos, J. Karhunen, and E. Oja, Int. J. Neural Systems 9, 99 (1999).

    CLP Journals

    [1] [in Chinese], [in Chinese], [in Chinese]. Algorithm Research of Adaptive Fuzzy Image Enhancement in Ridgelet Transform Domain[J]. Acta Optica Sinica, 2007, 27(7): 1183

    [2] Liu Jingbo, Wan Xiaolei, Jin Weidong. Separating Reflections from Image Using Fast Kernel Independent Component Analysis[J]. Laser & Optoelectronics Progress, 2010, 47(5): 51001

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    [in Chinese], [in Chinese]. Blind noisy image separation based on a new robust independent component analysis network[J]. Chinese Optics Letters, 2006, 4(10): 573

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    Paper Information

    Received: May. 23, 2006

    Accepted: --

    Published Online: Oct. 31, 2006

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