Digital secure communication via chaotic systems
Digital Signal Processing
Chaos and NDFT-based spread spectrum concealing of fingerprint-biometric data into audio signals
Digital Signal Processing
Contourlet-based image watermarking using optimum detector in a noisy environment
IEEE Transactions on Image Processing
Enhancing the transmission security of content-based hidden biometric data
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III
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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.