Markov Chaotic Sequences for Correlation Based Watermarking Schemes

نویسندگان

  • A. Tefas
  • A. Nikolaidis
  • N. Nikolaidis
  • V. Solachidis
  • S. Tsekeridou
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 affects the watermarking system performance. A family of chaotic maps, namely the skew tent map family, is proposed for use in watermarking schemes.

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تاریخ انتشار 2001