An introduction to signal detection and estimation (2nd ed.)
An introduction to signal detection and estimation (2nd ed.)
Detection, Estimation, and Modulation Theory: Radar-Sonar Signal Processing and Gaussian Signals in Noise
Statistical Digital Signal Processing and Modeling
Statistical Digital Signal Processing and Modeling
An Asymmetric Public Detection Watermarking Technique
IH '99 Proceedings of the Third International Workshop on Information Hiding
Neural Networks Functions for Public Key Watermarking
IHW '01 Proceedings of the 4th International Workshop on Information Hiding
Fast public-key watermarking of compressed video
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Informed audio watermarking scheme using digital chaotic signals
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
Key Independent Watermark Detection
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
Robust optimum detection of transform domain multiplicative watermarks
IEEE Transactions on Signal Processing
An asymmetric watermarking method
IEEE Transactions on Signal Processing
Scalar Costa scheme for information embedding
IEEE Transactions on Signal Processing
An additive approach to transform-domain information hiding andoptimum detection structure
IEEE Transactions on Multimedia
Identification in the presence of side information with application to watermarking
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Information-theoretic analysis of information hiding
IEEE Transactions on Information Theory
Multiresolution scene-based video watermarking using perceptual models
IEEE Journal on Selected Areas in Communications
Secure spread spectrum watermarking for multimedia
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
A new decoder for the optimum recovery of nonadditive watermarks
IEEE Transactions on Image Processing
Capacity estimates for data hiding in compressed images
IEEE Transactions on Image Processing
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Digital watermarking is an important technique to protect intellectual property right and to transmit useful secondary data. This paper investigates the performance analysis and error exponents of asymmetric watermarking systems. Asymmetric watermarking provides potentially better levels of security, its detection is much different from commonly used watermarking detectors, particularly when both gain factors and exact values of the watermark are not known to the detector. Optimum detectors are constructed in this paper. To handle unwieldy computations of large matrices, we develop equivalent yet more practical detectors in the frequency domain using asymptotic analysis techniques. Due to the nonlinearity nature of these detectors, their performance analysis is challenging, especially when the size of the watermark becomes large. Gaussian approximations using the central limit theorem is limited in modeling the performance. To obtain fundamental performance limits, we go a step further to make use of asymptotic statistical analysis techniques to derive the exact error exponents. The analytical method gives insights into the performance of asymmetric watermarking, and paves the way toward seeking efficient watermarks for more general asymmetric watermarking systems.