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Two dimensional time-frequency analysis based eigenvalue decomposition applied to image watermarking

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Abstract

An application of two-dimensional time-frequency analysis and corresponding two-dimensional eigenvalue decomposition for image watermarking purpose is proposed. The eigenvalue decomposition is used to provide a criterion for watermarking coefficients selection. It is primarily used to select pixels suitable for watermarking that belong to busy image regions. The watermark embedding is performed in the space/spatial-frequency domain by using middle frequency components, whose number is determined from the eigenvalue decomposition, as well. In order to provide its imperceptibility, watermark is modelled and adapted to the local frequency content of each considered pixel. For an efficient watermark modelling procedure, the concept of space-varying filtering is employed. Furthermore, the watermark detection is done within the space/spatial-frequency domain, which facilitates detection process due to the larger number of coefficients comparing to the space or frequency domain, separately. The efficiency of the proposed procedure and its robustness in the presence of various attacks is proven on the examples.

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Acknowledgement

This work is supported by the Ministry of Education and Science of Montenegro.

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Authors and Affiliations

  1. Faculty of Electrical Engineering, University of Montenegro, 20000, Podgorica, Montenegro

    Srdjan Stanković, Irena Orović & Nikola Žarić

  2. National Polytechnique Institute of Grenoble (Signal and Image Laboratory), 38031, Grenoble, France

    Cornel Ioana

Authors
  1. Srdjan Stanković
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  2. Irena Orović
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  3. Nikola Žarić
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  4. Cornel Ioana
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Correspondence to Srdjan Stanković.

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Stanković, S., Orović, I., Žarić, N. et al. Two dimensional time-frequency analysis based eigenvalue decomposition applied to image watermarking. Multimed Tools Appl 49, 529–543 (2010). https://doi.org/10.1007/s11042-009-0446-x

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  • DOI: https://doi.org/10.1007/s11042-009-0446-x

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