基于广义高斯分布模型的小波域自适应盲水印方案

An Adaptive Watermarking Scheme Based on General Gauss Distribution Model of Wavelet Coefficients

文章提出了一种基于小波系数广义高斯分布模型的自适应盲检测算法。算法通过估计小波各个子带广义高斯分布模型的形状参数,采用局部最优检测器,实现了小波域盲水印的自适应检测。仿真实验结果证明了该方案比符号相关检测器具有更好的鲁棒性。

In this paper, an adaptive watermarking scheme based on the general Gauss distribution model of wavelet coefficients is proposed. With the estimate of the shape parameter of subset of wavelet eoefficients, a locally optumum detection is used. It is adaptive detection to the images and the subset of the coefficients. It is shown with experiments that the new blind watermarking scheme both has the good transparency and robustness.