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Robust Color Watermarking Method Based on Clifford Transform

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Advanced Concepts for Intelligent Vision Systems (ACIVS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10016))

Abstract

In this paper, we propose a new watermarking scheme resistant to geometric attacks and JPEG compression. This method uses Fourier Clifford Transform and Harris interest points. First, we detect all circular Harris interest regions. Then, using the Delaunay-tessellation-based triangle matching method, we define robust interest region. Finally, the watermark is embedded into Clifford coefficients of robust interest region.

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Acknowledgments

This research is part of a collaborative work between iTesLab company represented by its director, M. Mahfoudh and the CRISTAL Lab of ENSI.

This project was are performed in the device MOBIDOC program funded by the European Union under the PASRI program administered by the Agence Nationale de la Promotion de la recherche (ANPR) of Tunisia.

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Authors and Affiliations

  1. CRISTAL Laboratory, GRIFT Research Group, Manouba, Tunisia

    Maroua Affes, Malek Sellami Meziou & Faouzi Ghorbel

Authors
  1. Maroua Affes
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  2. Malek Sellami Meziou
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  3. Faouzi Ghorbel
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Corresponding author

Correspondence to Maroua Affes .

Editor information

Editors and Affiliations

  1. Université Paris-Sud 11 , Orsay, France

    Jacques Blanc-Talon

  2. University of Salento , Lecce, Lecce, Italy

    Cosimo Distante

  3. Ghent University , Gent, Belgium

    Wilfried Philips

  4. CSIRO ICT Centre , Sydney, New South Wales, Australia

    Dan Popescu

  5. University of Antwerp , Wilrijk, Belgium

    Paul Scheunders

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Affes, M., Meziou, M.S., Ghorbel, F. (2016). Robust Color Watermarking Method Based on Clifford Transform. In: Blanc-Talon, J., Distante, C., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2016. Lecture Notes in Computer Science(), vol 10016. Springer, Cham. https://doi.org/10.1007/978-3-319-48680-2_40

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  • DOI: https://doi.org/10.1007/978-3-319-48680-2_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48679-6

  • Online ISBN: 978-3-319-48680-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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