A fast fixed-point algorithm for independent component analysis
Neural Computation
Independent component analysis: algorithms and applications
Neural Networks
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A new blind watermarking algorithm is proposed in this paper. Our watermark embedding algorithm mainly exploits the important properties of Singular Value Decomposition (SVD). By means of Independent Component Analysis (ICA), the watermark is successfully extracted without the original image. Experiment results have shown that the proposed approach is robust against the common signal processing and geometric attacks.