Watermarking capacity analysis based on neural network

Authors:
Fan Zhang;Hongbin Zhang
Affiliations:
Institute of Computer, Beijing University of Technology, Beijing, China;Institute of Computer, Beijing University of Technology, Beijing, China
Venue:
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
Year:
2005

Citing 4
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Abstract

The watermarking capacity of a digital image is an evaluation of how much information can be hidden within digital images. This paper presents a blind watermarking algorithm based on the Hopfield neural network and discusses the bounds of watermark information. The Hopfield neural network is used to store the original image during the watermark embedding and to retrieve it during the watermark extracting. According to the research, the attraction basin of neural network determines the watermarking capacity.