DocumentCode :
1168448
Title :
Ergodic chaotic parameter modulation with application to digital image watermarking
Author :
Chen, Siyue ; Leung, Henry
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Calgary, Alta., Canada
Volume :
14
Issue :
10
fYear :
2005
Firstpage :
1590
Lastpage :
1602
Abstract :
This paper presents a novel technique for image watermarking based on chaos theory. Chaotic parameter modulation (CPM) is employed to modulate the copyright information into the bifurcating parameter of a chaotic system. The system output is a wideband signal and is used as a watermark to be inserted into the host image. In the detection, a novel method based on the ergodic property of chaotic signal is developed to demodulate the embedded copyright information. Compared to previous works on blind watermarking, the proposed technique can effectively remove the interference from the host image and, thus, improve the detection performance dramatically. Simulation results show that the ergodic CPM approach is effective for image watermarking in terms of noise performance, robustness against attacks, and payload. In addition, its implementation is very simple and the computation speed is fast. Compared to holographic transform domain method and the conventional spread spectrum watermarking scheme, the proposed technique is shown to be superior.
Keywords :
bifurcation; chaos; copyright; demodulation; image coding; image denoising; interference suppression; modulation; signal detection; watermarking; ECPM; bifurcating parameter; chaotic system; copyright information demodulation; digital image watermarking; ergodic chaotic parameter modulation; interference removal; noise performance; signal detection; Bifurcation; Chaos; Computational modeling; Digital images; Digital modulation; Interference; Noise robustness; Payloads; Watermarking; Wideband; Bifurcating parameter; chaotic parameter modulation (CPM); digital watermarking; spread spectrum (SS); Algorithms; Computer Graphics; Computer Security; Computer Simulation; Data Compression; Hypermedia; Image Interpretation, Computer-Assisted; Models, Statistical; Nonlinear Dynamics; Patents as Topic; Pattern Recognition, Automated; Product Labeling; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Stochastic Processes;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/TIP.2005.854475
Filename :
1510693
Link To Document :
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