CHAOTIC WATERMARK SEQUENCES FOR CORRELATION-BASED SCHEMES

摘要

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.