基于奇异值分解的彩色图像水印算法

针对基于量化的嵌入方法不能抵抗亮度增强等攻击而基于关系的嵌入方法抵抗常见的攻击能力较弱等缺点, 提出了一种混合量化和关系嵌入方法的彩色图像水印算法。该算法先对彩色图像的每一分量进行互不重叠的大小为8×8的分块, 借助密钥选取待嵌入水印的分块并对选取的分块进行1级离散小波变换和分别对低频子带与高频子带进行奇异值分解, 在低频和高频子带奇异值分解后的奇异值矩阵分别采用量化和关系的嵌入策略嵌入预处理后的水印。实验表明, 该算法实现简单, 具有较好的不可见性。与其他算法相比, 该算法具有更好的鲁棒性能。

Color image watermarking algorithm based on singular value decomposition

For quantitative-based and relationship-based embedding methods can not resist brightness enhancement and common attacks respectively, this paper proposed a hybrid quantization and relationship color image watermarking algorithm. Firstly, it subdivided each component of the color image to non-overlapping blocks of size 8×8 and performed 1-level discrete wavelet transform (DWT) for each selected block by using a key, and then did singular value decomposition (SVD) on the low and high frequency sub-band, respectively. Finally, the biggest singular value of low and high frequency sub-band exploited quantification and relationship method to embed preprocessed watermarking, respectively. Experimental results show that the proposed algorithm has low complexity and good transparency. Compared with other algorithms, it has better robustness performance.