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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    In watermarking schemes, watermarking can be viewed as a form of communication problems. Almost all of previous works on image watermarking capacity are based on information theory, using Shannon formula to calculate the capacity of watermarking. In this paper, we present a blind watermarking algorithm using Hopfield neural network, and analyze watermarking capacity based on neural network. In our watermarking algorithm, watermarking capacity is decided by attraction basin of associative memory.

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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)

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