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Signal watermarking in bi-dimensional representations using matrix factorizations

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Abstract

In the last few years, watermarking has become a powerful tool for data hiding and copyright protection. This paper presents a new noise-robust scheme for signal watermark embedding and extraction, applicable on the broad scientific field of information security, including speech and audio secure transmission. The proposed method employs bi-dimensional signal representations and the fractional Fourier transformation for watermark embedding and detection. An important feature of the current work is the introduction of matrix factorization and decomposition on these representations. The current scheme was also performed and evaluated for the case of an image. The efficiency and robustness of the procedure is proven experimentally.

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Authors and Affiliations

  1. Independent Power Transmission Operator, Asklipiou 22, Krioneri, 14568, Athens, Greece

    Spiros Chountasis

  2. Department of Statistics, Athens University of Economics and Business, 76 Patission Str, 10434, Athens, Greece

    Dimitrios Pappas

  3. Division of Mathematics and Informatics, Department of Economics, National and Kapodistrian University of Athens, Athens, Greece

    Vasilios N. Katsikis

Authors
  1. Spiros Chountasis
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  2. Dimitrios Pappas
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  3. Vasilios N. Katsikis
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Corresponding author

Correspondence to Vasilios N. Katsikis.

Additional information

Communicated by Antonio José Silva Neto.

Appendix

Appendix

In this section we provide the algorithms for the watermark embedding and the watermark detection, respectively.

figure a
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Chountasis, S., Pappas, D. & Katsikis, V.N. Signal watermarking in bi-dimensional representations using matrix factorizations. Comp. Appl. Math. 36, 341–357 (2017). https://doi.org/10.1007/s40314-015-0230-7

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  • DOI: https://doi.org/10.1007/s40314-015-0230-7

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