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Effective Approach for Detecting Digital Image Watermarking via Independent Component Analysis

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AI 2004: Advances in Artificial Intelligence (AI 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3339))

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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.

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© 2004 Springer-Verlag Berlin Heidelberg

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Sun, L., Xu, W., Li, Z., Shen, M., Beadle, P. (2004). Effective Approach for Detecting Digital Image Watermarking via Independent Component Analysis. In: Webb, G.I., Yu, X. (eds) AI 2004: Advances in Artificial Intelligence. AI 2004. Lecture Notes in Computer Science(), vol 3339. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30549-1_84

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  • DOI: https://doi.org/10.1007/978-3-540-30549-1_84

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24059-4

  • Online ISBN: 978-3-540-30549-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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