Effective approach for detecting digital image watermarking via independent component analysis

Authors:
Lisha Sun;Weiling Xu;Zhancheng Li;M. Shen;Patch Beadle
Affiliations:
Key Lab of Guangdong, Shantou University, Guangdong, China;Key Lab of Guangdong, Shantou University, Guangdong, China;Key Lab of Guangdong, Shantou University, Guangdong, China;Key Lab of Guangdong, Shantou University, Guangdong, China;School of System Engineering, Portsmouth University, Portsmouth, U.K.
Venue:
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Year:
2004

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Abstract

A basic scheme for extracting digital image watermark is proposed using independent component analysis (ICA) The algorithm in terms of fastICA is discussed and used to separate the watermark from the mixed sources The behavior of the proposed approach with several robustness tests of the image watermark is also carried out to demonstrate that ICA technique could provide a flexible and robust system for performing digital watermark detection and extraction The preliminary experimental results show that the proposed watermarking method is effective and robust to some possible attacks.