Chinese Optics Letters, Volume. 2, Issue 11, 11634(2004)

Image watermarking capacity analysis based on Hopfield neural network

Fan Zhang* and Hongbin Zhang
Author Affiliations
  • The College of Computer Science, Beijing University of Technology, Beijing 100022
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    References(8)

    [1] [1] S. D. Servetto, C. I. Podilchuk, and K. Ramchandran, in Proceedings of IEEE International Conference on Image Processing 1, 445 (1998).

    [2] [2] M. Barni, F. Bartolini, and A. De Rosa, Proc. SPIE 3657, 437 (1999).

    [3] [3] P. Moulin and M. K. Mihcak, IEEE Trans. Image Processing 11, 1029 (2002).

    [4] [4] P. Moulin, Signal Processing 81, 1121 (2001).

    [5] [5] C. Y. Lin and S. F. Chang, in Proceedings of IEEE International Conference on Image Processing 3, 1007 (2001).

    [6] [6] C. Y. Lin, Ph.D. Thesis (Columbia University, 2000).

    [7] [7] S. Voloshynovskiy, S. Pereira, and V. Iquise, Signal Processing 81, 1177 (2001).

    [8] [8] J. Cox, M. L. Milller, and A. McKellips, Proceedings of the IEEE (Special Issue on Identification and Protection of Multimedia Information) 87, 1127 (1999).

    CLP Journals

    [1] Leida Li, Baolong Guo, Kai Shao. Geometrically robust image watermarking using scale-invariant feature transform and Zernike moments[J]. Chinese Optics Letters, 2007, 5(6): 332

    [2] [in Chinese], [in Chinese], [in Chinese], [in Chinese]. Rotation, scaling, and translation invariant local watermarking technique with Krawtchouk moments[J]. Chinese Optics Letters, 2007, 5(1): 21

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    Fan Zhang, Hongbin Zhang. Image watermarking capacity analysis based on Hopfield neural network[J]. Chinese Optics Letters, 2004, 2(11): 11634

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    Paper Information

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    Received: Apr. 19, 2004

    Accepted: --

    Published Online: Jun. 6, 2006

    The Author Email: Fan Zhang (justzf@sina.com)

    DOI:

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