A novel watermarking scheme based on independent component analysis

Haifeng Li,Shuxun Wang,Weiwei Song,Quan Wen

ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III（2005）

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摘要

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.

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关键词

geometric attack,important property,new blind watermarking algorithm,singular value decomposition,independent component analysis,experiment result,watermark embedding algorithm,original image,common signal processing,signal processing

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