Digital watermarking
A Stochastic Approach to Content Adaptive Digital Image Watermarking
IH '99 Proceedings of the Third International Workshop on Information Hiding
Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications
Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications
Independent component analysis applied to digital image watermarking
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
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In many watermarking applications, tracking the image copy ID is another requirement besides the ownership verification. Furthermore, it is a common demand to keep the original image from public accessibility during the watermark extraction process. In this paper, we propose a new watermarking method called WMica that bases on the Independent Component Analysis (ICA) technique. The proposed method employs a two-watermark embedding scheme; one watermark is to identify the ownership and the other serves as the ID for each copy of the original image. In the extraction scheme, an ICA algorithm is applied together with a down-sizing technique so that we can estimate all the watermarks without accessing the original image and the prior information about the watermarks. The new method, undergoing a variety of experiments, has shown its robustness against many salient attacks. It also exhibits a capability in image authentication.