基于向量相似度的水印模型分析  

Analysis of watermarking model based on similarity of vectors

作　　者：薛俊韬[1] 金志刚[1] 杨正瓴[1] 张军[1] XUE Juntao;JIN Zhigang;YANG Zhengling;ZHANG Jun(School of Electrical Engineering & Automation, Tianjin University, Tianjin 300072, China)

机构地区：[1]天津大学电气与自动化工程学院,天津300072

出　　处：《计算机工程与应用》2016年第24期116-120,共5页Computer Engineering and Applications

基　　金：天津市科技支撑计划重点项目(No.10ZCKFSF01100);天津市科技型中小企业创新基金(No.13ZXCXGX40400;No.13ZXCXGX40500)

摘　　要：数字水印能量分析有助于平衡水印的不可视性和鲁棒性。当前数字水印嵌入能量往往通过反复实验确定。为此首先介绍了基于向量相似度的水印模型。接着定量分析了嵌入强度和密钥对峰值信噪比以及水印提取正确率的影响。最后通过仿真实验验证了理论结果:随着嵌入强度的增大,密钥对峰值信噪比和水印提取正确率影响减弱;针对特定嵌入强度存在最佳密钥子集使得水印提取正确率最大。这对于基于向量相似度的数字水印设计具有指导意义,可以从理论上计算需要嵌入水印的能量。The analysis of energy helps to balance the imperceptibility and robustness of digital watermarking. Currently,the digital watermarking embedding energy is often determined by repeat testing. Firstly, this paper introduces the watermarking model which is based on the similarity of vectors, and then it quantificationally analyzes the impact of embedding strength and the secret key on the Peak Signal to Noise Ratio(PSNR)and watermarking correct extraction rate. Finally,simulation experiments show that with the embedding strength increasing, the impact of the secret key on the PSNR and watermarking correct extraction rate is reduced; for a particular embedding strength, there are optimal subsets of the secret key which make watermarking correct extraction rate maximum. It is significant for the design of digital watermarkingw hich is based on the similarity of vectors, and it can calculate the energy which is required to embed in watermarking in theory.

关 键 词：数字水印 能量分析 向量相似度 峰值信噪比 水印提取正确率 

分 类 号：TP309.7[自动化与计算机技术—计算机系统结构]