Title :
Statistical analysis of Markov chaotic sequences for watermarking applications
Author :
Tefas, A. ; Nikolaidis, A. ; Nikolaidis, N. ; Solachidis, V. ; Tsekeridou, S. ; Pitas, I.
Author_Institution :
Dept. of Inf., Thessaloniki Univ., Greece
Abstract :
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
Keywords :
Markov processes; chaos; copy protection; correlation theory; message authentication; piecewise linear techniques; sequences; statistical analysis; Markov chaotic sequences; chaotic watermark signals; copyright protection; correlation detection; correlation properties; piecewise-linear Markov maps; spectral properties; watermark detection reliability; watermark sequences; watermarking schemes; Chaos; Chaotic communication; Control systems; Copyright protection; Informatics; Robustness; Signal generators; Statistical analysis; System testing; Watermarking;
Conference_Titel :
Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6685-9
DOI :
10.1109/ISCAS.2001.921005
