Decision-Based Hybrid Image Watermarking in Wavelet Domain Using HVS and Neural Networks

Authors:
Hung-Hsu Tsai
Affiliations:
Dept. of Information Management, National Formosa University, Huwei, Yulin, 63208 Taiwan, R.O.C.
Venue:
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
Year:
2007

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Abstract

This paper presents a Decision-based Hybrid Image Watermarking (DHIW) technique, based on the Human Visible System (HVS) and an Artificial Neural Network (ANN), for image copyright protection in wavelet domain. In [1], an image watermarking technique, called the IWNN technique, utilizes an ANN to extract watermarks without original images. However, the IWNN technique performs poorly for highly complicated image textures because the generalization capability of neural networks is powerfully effective in dealing with smooth image textures. Therefore, the PAIW method is proposed to enhance the IWNN technique, which uses the spatial information associated with wavelet-transformed images. The DHIW technique takes advantages of these two techniques by using a decision preprocessor. Experimental results prove that the DHIW technique remarkably outperforms other existing schemes.