An introduction to signal detection and estimation (2nd ed.)
An introduction to signal detection and estimation (2nd ed.)
The role of information theory in watermarking and its application to image watermarking
Signal Processing - Special section on information theoretic aspects of digital watermarking
A robust multi-bit image watermarking algorithm based on HMM in wavelet domain
IWDW'05 Proceedings of the 4th international conference on Digital Watermarking
Informed watermarking by means of orthogonal and quasi-orthogonal dirty paper coding
IEEE Transactions on Signal Processing
Wavelet-based statistical signal processing using hidden Markovmodels
IEEE Transactions on Signal Processing
The Gaussian watermarking game
IEEE Transactions on Information Theory
Applying informed coding and embedding to design a robust high-capacity watermark
IEEE Transactions on Image Processing
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A new informed image watermarking algorithm is presented in this paper, which can achieve the information rate of 1/64 bits/pixel with high robustness. Firstly, the LOT (Locally Optimum Test) detector based on HMM in wavelet domain is developed to tackle the issue that the exact strength for informed embedding is unknown to the receiver. Then based on the LOT detector, the dirty-paper code for informed coding is constructed and the metric for the robustness is defined accordingly. Unlike the previous approaches of informed watermarking which take the informed coding and embedding process separately, the proposed algorithm implements a jointly coding and embedding optimization for high capacity and robust watermarking. The Genetic Algorithm (GA) is employed to optimize the robustness and distortion constraints simultaneously. Extensive simulations are carried out which demonstrates that the proposed algorithm achieves significant improvements in performance against JPEG, gain attack, low-pass filtering and so on.