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A Novel Watermarking Scheme Based on Independent Component Analysis

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Advances in Natural Computation (ICNC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3612))

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Abstract

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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References

  1. Hartung, F., Kutter, M.: Multimedia watermarking techniques. Proceedings of the IEEE 87(7), 1079–1106 (1999)

    Article  Google Scholar 

  2. Hyvärinen, A., Oja, E.: Independent component analysis: algorithm and applications. Neural Networks 13(4), 411–430 (2000)

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  3. Hyvärinen, A., Oja, E.: A fast fixed-point algorithm for independent component analysis. Neural Computation 6, 1484–1492 (1997)

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  4. Yu, D., Sattar, F., Ma, K.K.: Watermark detection and extraction using independent component analysis methods. EURASIP journal on Applied Signal Processing 1, 92–104 (2002)

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Author information

Authors and Affiliations

  1. Institute of Communication Engineering, Jilin University, Changchun, 130025, China

    Haifeng Li, Shuxun Wang, Weiwei Song & Quan Wen

Authors
  1. Haifeng Li
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  2. Shuxun Wang
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  3. Weiwei Song
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  4. Quan Wen
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Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  2. School of Software, Sun Yat-Sen University, 510275, Guangzhou, China

    Ke Chen

  3. School of Computer Engineering, Nanyang Technological University, BLK N4, 2b-39, Nanyang Avenue, 639798, Singapore

    Yew Soon Ong

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© 2005 Springer-Verlag Berlin Heidelberg

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Li, H., Wang, S., Song, W., Wen, Q. (2005). A Novel Watermarking Scheme Based on Independent Component Analysis. In: Wang, L., Chen, K., Ong, Y.S. (eds) Advances in Natural Computation. ICNC 2005. Lecture Notes in Computer Science, vol 3612. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539902_122

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  • DOI: https://doi.org/10.1007/11539902_122

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28320-1

  • Online ISBN: 978-3-540-31863-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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