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Chin. Opt. Lett.
 Home  List of Issues    Issue 11 , Vol. 02 , 2004    Image watermarking capacity analysis based on Hopfield neural network


Image watermarking capacity analysis based on Hopfield neural network
Fan Zhang, Hongbin Zhang
The College of Computer Science, Beijing University of Technology, Beijing 100022

Chin. Opt. Lett., 2004, 02(11): pp.634-634-

DOI:
Topic:Image processing
Keywords(OCIS Code): 100.2000  100.2960  

Abstract
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.

Copyright: © 2003-2012 . This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Received:2004/4/19
Accepted:
Posted online:

Get Citation: Fan Zhang, Hongbin Zhang, "Image watermarking capacity analysis based on Hopfield neural network," Chin. Opt. Lett. 02(11), 634-634-(2004)

Note: This work was supported by the National Natural Science Foundation of China (No. 60075002) and the National High Technology Research and Development 863 Program of China (No. 2001AA144080). F. Zhang's e-mail address is justzf@sina.com.



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