Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Watermarking of uncompressed and compressed video
Signal Processing
A Secure, Robust Watermark for Multimedia
Proceedings of the First International Workshop on Information Hiding
Digital Watermarks for Audio Signals
ICMCS '96 Proceedings of the 1996 International Conference on Multimedia Computing and Systems
Probability and Random Processes For EE's (3rd Edition)
Probability and Random Processes For EE's (3rd Edition)
Audio data hiding by use of band-limited random sequences
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 04
IEEE Transactions on Signal Processing
Image-adaptive watermarking using visual models
IEEE Journal on Selected Areas in Communications
Multiresolution scene-based video watermarking using perceptual models
IEEE Journal on Selected Areas in Communications
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The majority of the existing data hiding schemes are based on the direct-sequence (DS) modulation where a low-power random sequence is embedded into the original cover signal to represent hidden information. In this paper, we investigate linear and non-linear modulation approaches in digital data hiding. One typical DS modulation algorithm is explored and its optimal oblivious detector is derived. The results expose its poor cover noise suppression as the hiding signature signal always has much lower energy than the cover signal. A simple nonlinear algorithm, called set partitioning, is proposed and its performance is analyzed. Analysis and simulation studies further demonstrate improvements over the existing schemes.