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Image Watermarking Based on Various Discrete Fractional Fourier Transforms

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Digital-Forensics and Watermarking (IWDW 2014)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 9023))

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Abstract

In this paper, we use discrete fractional Fourier transform (DFRFT) and its other four generalized transforms to embed watermarks and analyze their robustness. The resulting watermarking schemes belong to the transform-domain watermarking schemes. Experiment results show that, among the five transforms, random DFRFT (RDFRFT) is most robust to cropping attack as well as salt-and-pepper noise attack. In general, the two real transforms, real DFRFT and real DFRHT, are good choices for watermark applications because they are not only resistant to cropping and salt-and-pepper noise attacks, but also have the merit of less computations as compared with other three complex DFRFT transforms.

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Acknowledgements

This work was supported by the Ministry of Science and Technology, R. O. C., under Contract MOST 100-2221-E-033-068-MY3.

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Authors and Affiliations

  1. Master Program in Communication Engineering, Chung Yuan Christian University, Chung-Li, Taoyuan City, Taiwan, R.O.C.

    Fong-Maw Tsai & Wen-Liang Hsue

  2. Department of Electrical Engineering, Chung Yuan Christian University, Chung-Li, Taoyuan City, Taiwan, R.O.C.

    Wen-Liang Hsue

Authors
  1. Fong-Maw Tsai
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  2. Wen-Liang Hsue
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Corresponding author

Correspondence to Wen-Liang Hsue .

Editor information

Editors and Affiliations

  1. NJIT, Newark, New Jersey, USA

    Yun-Qing Shi

  2. Korea University, Seoul, Korea, Republic of (South Korea)

    Hyoung Joong Kim

  3. Universidad de La Laguna, La Laguna, Spain

    Fernando Pérez-González

  4. Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan

    Ching-Nung Yang

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Tsai, FM., Hsue, WL. (2015). Image Watermarking Based on Various Discrete Fractional Fourier Transforms. In: Shi, YQ., Kim, H., Pérez-González, F., Yang, CN. (eds) Digital-Forensics and Watermarking. IWDW 2014. Lecture Notes in Computer Science(), vol 9023. Springer, Cham. https://doi.org/10.1007/978-3-319-19321-2_10

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  • DOI: https://doi.org/10.1007/978-3-319-19321-2_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19320-5

  • Online ISBN: 978-3-319-19321-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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