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

Volume

2

fYear

2001

fDate

6-9 May 2001

Firstpage

57

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on

Conference_Location

Sydney, NSW

Print_ISBN

0-7803-6685-9

Type

conf

DOI

10.1109/ISCAS.2001.921005

Filename

921005