Watermarking Systems Engineering (Signal Processing and Communications, 21)
Watermarking Systems Engineering (Signal Processing and Communications, 21)
Optimal detector for multiplicative watermarks embedded in the DFT domain of non-white signals
EURASIP Journal on Applied Signal Processing
IEEE Transactions on Multimedia
Robust optimum detection of transform domain multiplicative watermarks
IEEE Transactions on Signal Processing
Robust Image Watermarking Based on Multiband Wavelets and Empirical Mode Decomposition
IEEE Transactions on Image Processing
On optimal detection for matrix multiplicative data hiding
Proceedings of the first ACM workshop on Information hiding and multimedia security
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In this paper, a novel scaling based information hiding approach robust against noise and gain attack is presented. The host signal is assumed to be stationary Gaussian modeled with a first-order autoregressive process. For data embedding, the host signal is divided into two parts. One part is manipulated while the other part is kept unchanged for parameter estimation. The decoding scheme using the ratio of samples is suitable for highly correlated signals in which the decoding process is difficult. By calculating the distribution of the ratio, the performance of the maximum likelihood decoder is analytically studied. The proposed algorithm is applied to several artificial Gaussian autoregressive signals to verify the validity of our results.