一种结合奇异值分解的非下采样剪切波数字水印算法

针对数字数字水印算法不可见性与鲁棒性不可协调性，本文提出一种结合奇异值分解的非下采样剪切波数字水印算法，用于图像版权保护。该算法利用剪切波多尺度、多方向分解特性，并应用奇异值分解把水印嵌入在能量最强的方向子带中，在满足不可见性的基础上使水印能够抵抗一系列形式的攻击，具有很强的鲁棒性。实验结果表明，结构相似性值接近于1，平均NC值在0.98以上。相较于其它同类算法，本文提出的算法具有更好的鲁棒性能。

A Digital Watermarking Algorithm Using SVD and Non-subsampled Shearlet

In order to solve the uncooperativeness?between invisibility and robustness, this paper proposed a digital watermarking algorithm using non-subsampled shearlet transform and singular value decomposition to achieve Copyright protection for digital images. This algorithm combine the directional features of non-subsampled shearlet transform with the singular value decomposition to embed the binary watermark into the subband with supremum energy. The algorithm not only satisfies the invisibility and robustness of watermarking algorithm, but exhibits the superiority compared with previous scheme. Experiment results demonstrate that the values of structural similarity index measurement are approach 1 and average Normalized Correlation value is above 0.98.Comparing with other similar algorithms, the algorithm in this paper has better robust performance.