CHAOTIC WATERMARK SEQUENCES FOR CORRELATION-BASED SCHEMES (FriAmSS1)

Author(s) : Anastasios Tefas (Department of Informatics, Aristotle University of Thessaloniki, Greece) Nikos Nikolaidis (Department of Informatics, Aristotle University of Thessaloniki, Greece) Ioannis Pitas (Department of Informatics, Aristotle University of Thessaloniki, Greece)

Abstract : In this paper, an overview of watermarking schemes based on chaotic generators and correlation detection is presented. Statistical properties of watermark sequences generated by piecewise-linear Markov maps are exploited for both additive and multiplicative watermark embedding. Correlation/spectral properties of such sequences are easily controllable, a fact that reflects on the watermarking system performance. A family of chaotic maps, namely the skew tent map family, is used in temporal and transform-domain watermarking schemes. The chaotic watermarking framework is applied successfully to audio signals, demonstrating its superiority with respect to both robustness and inaudibility.

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