Adaptive filter theory (3rd ed.)
Adaptive filter theory (3rd ed.)
Watermarking algorithm based on a human visual model
Signal Processing
A DCT-domain system for robust image watermarking
Signal Processing
Digital watermarking
A Stochastic Approach to Content Adaptive Digital Image Watermarking
IH '99 Proceedings of the Third International Workshop on Information Hiding
Computing the Probability of False Watermark Detection
IH '99 Proceedings of the Third International Workshop on Information Hiding
Image-adaptive watermarking using visual models
IEEE Journal on Selected Areas in Communications
Improved wavelet-based watermarking through pixel-wise masking
IEEE Transactions on Image Processing
Spatial noise shaping based on human visual sensitivity and its application to image coding
IEEE Transactions on Image Processing
Image-adaptive watermarking based on perceptually shaping watermark blockwise
ASIACCS '06 Proceedings of the 2006 ACM Symposium on Information, computer and communications security
Image-Adaptive Watermarking Using the Improved Signal to Noise Ratio
Computational Intelligence and Security
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This paper presents a new approach on utilizing human visual model (HVM) for watermarking. The approach introduces the linear prediction synthesis filter, whose parameters are derived from a set of just noticeable differences estimated by HVM. After being filtered by such a filter, the watermark can be adapted to characteristics of human visual system. As a result, the watermark visibility is noticeably decreased, while at the same time enhancing its energy. The theoretic analysis of the detector is done to illustrate the affect of the filter on detection value. And the experimental results prove the effectiveness of the new approach.