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A Robust Image Watermarking Scheme Based on BWT and ICA

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Book cover Partially Supervised Learning (PSL 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8183))

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Abstract

A robust image watermarking scheme combined with the human visual characteristics is proposed. Berkeley wavelet transform (BWT) which is used in watermarking embedding procedure simulates physiology characteristics of the mammalian primary visual cortex (V1). Independent Component Analysis (ICA) which is blind separation technology will be adapted to the watermarking extracting procedure. By combining the advantages of BWT and ICA, a robust image watermarking scheme is proposed and a simulation of the scheme is designed. Experimental results demonstrate that the proposed watermarking technique combines the imperceptibility, robustness, real-time and high capacity of digital watermarking algorithms.

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Acknowledgments

The author gratefully acknowledge the support from Natural Science Foundation of China (No.61073116 & No.61003038) and the support from key natural science fund of Anhui province (No. KJ2012A008 & No. KJ2010A006).

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Authors and Affiliations

  1. School of Computer Science and Technology, Anhui University, Hefei, 230601, China

    Tao Wang, Jin Tang, Bin Luo & Cheng Zhang

  2. Key Lab of Industrial Image Processing and Analysis of Anhui Province, Hefei, 230039, China

    Tao Wang, Jin Tang & Bin Luo

Authors
  1. Tao Wang
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  2. Jin Tang
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  3. Bin Luo
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  4. Cheng Zhang
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Corresponding author

Correspondence to Tao Wang .

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Editors and Affiliations

  1. National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, People's Republic of China

    Zhi-Hua Zhou

  2. Abt. Neuroinformatik, Universität Ulm, Ulm, Germany

    Friedhelm Schwenker

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Wang, T., Tang, J., Luo, B., Zhang, C. (2013). A Robust Image Watermarking Scheme Based on BWT and ICA. In: Zhou, ZH., Schwenker, F. (eds) Partially Supervised Learning. PSL 2013. Lecture Notes in Computer Science(), vol 8183. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40705-5_9

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  • DOI: https://doi.org/10.1007/978-3-642-40705-5_9

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40704-8

  • Online ISBN: 978-3-642-40705-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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