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基于奇异值分解的Contourlet域稳健性数字水印算法

         

摘要

To protect the copyright of digital media, this paper proposed a digital watermark algorithm in Contourlet domain. The original image was decomposed with Contourlet transformation{ CT) , the scrambled watermark image was decomposed with singular value decompositino( SVD) , then, the singular values of watermark image were used to modulate the chosen Contourlet coefficient matrixs. After inverse transformation, obtained a watermarked image. In watermark detection, only the SVD vector of the original image was needed, which meant the blind detection was nearly achieved. Finally, applied a series attacks, the results show that compared with traditional watermark algorithm in wavelet domain, the proposed method achieves great impovement in both invisibility and robustness.%提出了一种基于奇异值分解的Contourlet域数字水印算法.对置乱后的水印图像进行奇异值分解,在Contourlet域中选取合适的方向子带,利用得到的奇异值来调制系数矩阵,然后通过逆变换获取嵌入水印后的图像.在水印提取中只需要保存原始图像的奇异值,实现了水印的近似盲提取.最后,进行了一系列的攻击实验,证明了与传统小波域水印算法相比,该算法的不可见性和鲁棒性都有了较大的提高.

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