Independent component analysis: theory and applications
Independent component analysis: theory and applications
High-order contrasts for independent component analysis
Neural Computation
A Stochastic Approach to Content Adaptive Digital Image Watermarking
IH '99 Proceedings of the Third International Workshop on Information Hiding
Fast and robust fixed-point algorithms for independent component analysis
IEEE Transactions on Neural Networks
Tracing illegal users of video: reconsideration of tree-specific and endbuyer-specific methods
ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part III
A new fingerprinting codes for multimedia contents
MMM'07 Proceedings of the 13th International conference on Multimedia Modeling - Volume Part II
Video fingerprinting system using wavelet and error correcting code
WISA'05 Proceedings of the 6th international conference on Information Security Applications
A viable system for tracing illegal users of video
WISI'06 Proceedings of the 2006 international conference on Intelligence and Security Informatics
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In this paper, we propose a new blind watermarking scheme by embedding a digital image signature/watermark in the wavelet domain and using Independent Component Analysis (ICA) technique for blind watermark extraction. The watermark is inserted in the middle frequency sub-bands. A visual masking function is used to modify the digital signature to assure the perceptual quality of the watermarked image. Independent Component Analysis (ICA) method is employed for blind watermark extraction without requiring the original image. The presented technique has been successfully evaluated and compared with other wavelet-based blind watermarking techniques against the most prominent attacks, such as JPEG and JPEG2000 compression and quantization.