Performance Analysis of Watermarking Schemes Based on Skew Tent Chaotic Sequences
نویسندگان
چکیده
In this paper, statistical analysis of watermarking schemes based on correlation detection is presented. Statistical properties of watermark sequences generated by piecewise-linear Markov maps are exploited, resulting in superior watermark detection reliability. 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 proposed for use in watermarking schemes. The proposed chaotic sequences are compared against the widely used pseudorandom sequences, indicating the superiority of the former in watermarking applications.
منابع مشابه
Markov Chaotic Sequences for Correlation Based Watermarking Schemes
In this paper, statistical analysis of watermarking schemes based on correlation detection is presented. Statistical properties of watermark sequences generated by piecewise-linear Markov maps are exploited, resulting in superior watermark detection reliability. Correlation/spectral properties of such sequences are easily controllable, a fact that affects the watermarking system performance. A ...
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