作　　者： ; ; ; (邹勤辉）;

机构地区： 广东工业大学计算机学院

出　　处： 《计算机应用》 2014年第6期1689-1693,共5页

摘　　要： 针对常规水印算法对JPEG压缩与几何攻击鲁棒性较差的问题,提出了一种基于细胞自动机(CA)变换与奇异值分解(SVD)的零水印算法。首先对图像进行二维细胞自动机变换,分离出低频近似图像并保存作为密钥的变换参数;然后对低频图像分块并在每个子块上进行奇异值分解,通过细胞自动机变换规则在每个子块的奇异值矩阵上构造零水印;最后,图像认证时根据两个图像的水印相似度是否大于阈值来判断图像是否遭遇篡改。通过实验证明,该水印算法具有良好的不可见性和安全性,并且对于JPEG压缩与几何攻击表现出较强的鲁棒性。 Concerning the problem of low robustness of general watermarking algorithms in resisting JPEG compression and geometric transform attacks, a zero-watermarking algorithm based on Cellular Automata （CA） and Singular Value Decomposition （SVD） was proposed. Firstly, an image was transformed by 2-dimensional cellular automata transform and tbe low-frequency subband approximation image were isolated, then the CA parameters was saved as key. After that, the approximation image was sub-blocked, and the blocks were decomposed by SVD, then the zero-watermark was constructed by CA rule in SVD matrix. In image authentication, the image could be certificated by comparing the similarity of two watermarks with the threshold value. The experimental result shows that this algorithm has good invisibility and perfect robustness in resisting JPEG compression and geometric transform attacks.

关 键 词： 细胞自动机 奇异值分解 零水印 信息隐藏

领　　域： [自动化与计算机技术] [自动化与计算机技术]