由滤波器控制的基于神经网络的半易损水印  

Neural Network Based Semi-fragile Watermarking Controlled by Wavelet Filter Banks

作　　者：石磊[1] 洪帆[1] 胡玉平[1] 崔国华[1] 

机构地区：[1]华中科技大学计算机学院,武汉430074

出　　处：《计算机辅助设计与图形学学报》2005年第6期1347-1353,共7页Journal of Computer-Aided Design & Computer Graphics

基　　金：国防科工委预研项目(1584);湖南省教育厅科研项目(03B033)

摘　　要：提出了一种基于神经网络的小波域图像水印算法.首先根据不同的2×2像素块在不同分辨率下选择呈树状结构分布的小波系数;然后在这些小波系数中,建立最高分辨率下的高频系数与其他系数量化值之间的神经网络关系模型;最后通过调整高频系数与模型输出值之间的大小关系来嵌入水印信息.该水印以滤波器作为密钥,算法可公开,并能承受合理失真.实验结果表明:文中算法不仅能区分合理失真与不合理失真,而且能准确地定位恶意篡改.In this paper, a novel neural network based image watermarking algorithm in wavelet domain is described. We firstly select some wavelet coefficients in zerotrees from subimages of different resolutions according to different 2×2 pixel blocks, and then establish the relational model among these coefficients by using the neural network. Finally a bit of the watermark is embedded by adjusting the polarity between a high frequency coefficient and the output value of the model. In the proposed method, the filter banks are regarded as the key to take overall control of the embedding process, so the algorithm is public while keeping high security. The experimental results show that the watermark can not only discriminate between malicious and incidental tamper but also exactly locate the malicious modifications.

关 键 词：数字水印 神经网络 小波变换 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]