Watermarking algorithm based on a human visual model
Signal Processing
A DCT-domain system for robust image watermarking
Signal Processing
Digital watermarking
Attack modelling: towards a second generation watermarking benchmark
Signal Processing - Special section on information theoretic aspects of digital watermarking
Computing the Probability of False Watermark Detection
IH '99 Proceedings of the Third International Workshop on Information Hiding
Better use of human visual model in watermarking based on linear prediction synthesis filter
IWDW'04 Proceedings of the Third international conference on Digital Watermarking
Spread-spectrum watermarking of audio signals
IEEE Transactions on Signal Processing
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
Region-based image watermarking
IEEE Transactions on Image Processing
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In a general additive watermarking model, a watermark signal is perceptually shaped and scaled with a global gain factor before embedding. This paper presents a new image-adaptive watermarking scheme based on perceptually shaping watermark blockwise. Instead of the global gain factor, a localized one is used for each block. And Watson's DCT-based visual model is adopted to measure the distortion of each block introduced by watermark, rather than the whole image. With the given distortion constraint, the maximum output value of linear correlation detector is derived in one block, which demonstrates the reachable maximum robustness in a sense. Meanwhile, an extended perceptually shaped watermarking (EX-PSW) is acquired through making detection value approach that upper limit. It is proved mathematically that EX-PSW outputs higher detection value than perceptually shaped watermarking (PSW) with the same distortion constraint. We also discuss the adjustment strategies of parameters in EX-PSW, which are helpful for improving the local image quality. Experimental results show our scheme provides very good results both in terms of image transparency and robustness.