基于Contourlet和SVD的鲁棒双水印算法

提出了一种Contourlet域的基于奇异值分解的鲁棒水印算法。综合Contourlet变换和奇异值的优点,选择宿主图像Contourlet变换后的低频子带和能量最大的高频子带作为水印嵌入子带,分别嵌入水印信息。水印提取时,从两个子带水印中选择NC值较大的作为最终提取的水印。实验结果表明,该算法在保证了不可见性的同时,对常规攻击和几何攻击均具有较强鲁棒性。

Robust dual-watermarking algorithm based on Contourlet and SVD

This paper presented a robust watermarking algorithm based on Contourlet transform and SVD. By the advantages of Contourlet transform and SVD, it selected the low frequency subband and the high frequency subband which has the maximum energy as the embedding positions to embed the watermarking information respectively. By comparing the two extracted watermarking images, it chose the one which had larger NC value as the final watermarking. The experimental results show that the algorithm has strong robustness to conventional attacks, as well as geometric-attacks.