Robust halftone image watermarking scheme based on neural networks

Authors:
Xiang-yang Wang;Jun Wu
Affiliations:
School of Computer and Information Technology, Liaoning Normal University, Dalian, China;School of Computer and Information Technology, Liaoning Normal University, Dalian, China
Venue:
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III
Year:
2006

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Data hiding watermarking for halftone images

IEEE Transactions on Image Processing

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Abstract

In this paper, a novel robust halftone image watermarking algorithm based on neural networks is presented. By using neural networks, the error diffusion filter can be adjusted adaptively, which can integrate the data embedding with the halftone processing in our scheme. Experimental results show that the proposed halftone image watermarking is invisible and robust against various signal processions such as JBIG compression, noise adding, cropping, daubing and print-scan. Especially, the algorithm can extract the watermark without the help from the original image.