一种基于奇异值分解的数字水印算法

数字水印的出现为版权保护提供了一种新的解决途径。提出了基于奇异值分解(Singular Valuc Dccomposition)的数字水印算法。图像奇异值分解(SVD)有以下性质：分解后图像矩阵的奇异值集中反映了图像的“亮度”(能量)特性，而对应的奇异矩阵只反映了图像的“几何”特性。因而奇异值的细微变化不会影响图像的视觉效果。对图像分块并做奇异值分解，在奇异值域做数学变换以嵌入lbit的二值水印信息。该算法不同于别的算法的一个优点是：水印的提取是“盲提取”，即水印的提取不需要原图像参与。

SVD Based Digital Watermarking Algorithm

Digital watermarking represents a new valid solution to the copyright protection. An algorithm based on SVD is proposed in this paper. According to some properties, of SVD, each singular value (SV) specifies the luminance of the SVD image layer, whereas the respective pair of singular vectors specifies image geometry. Therefore slight variations of SVs cannot effect the visual perception. The proposed algorithm is based on embedding one bit data through slight modifications of SVs of a small block of the segmented covers. An advantage of the algorithm is that it is blind.