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出 处:《计算机安全》2013年第7期29-32,共4页Network & Computer Security
摘 要:为了提高水印的稳定性和抗几何攻击能力,提出了一种结合图像归一化技术和分形理论的零水印算法。该算法首先利用归一化技术将原始图像映射到几何不变空间中,再以几何中心为中点提取归一化图像的重要区域;然后对该区域进行分形编码,由拼贴误差获得重要区域的边缘信息,即图像特征信息。最后用该信息与水印做相应的处理后即可得到提取水印的密钥矩阵。仿真实验结果表明,算法对常规图像处理和几何攻击具有较强的鲁棒性。In order to improve the watermark’s stability and the ability to resist geometric attacks,this paper puts forward a kind of zero-watermarking algorithm combined image normalization and fractal theory.Firstly,the image’s geometrically invariant space is constructed by using the image normalization method,the significant area is gained from the normalized image by using the geometric center.Then the significant area is encoded by fractal coding.The edge information will be obtained from the collage error of the image’ s fractal coding.That is the image feature information.Finally,do certain processing on the watermark and feature information to achieve the key matrix.It will be used in detecting watermark.The experimental results show that this approach has good performance to the image processing and geometric attack.
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术]
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