基于整体和局部参数估计的最优检测算法的性能比较  

Performance Comparison of Optimum Detection Strategies Based on Global and Local Parameter Estimation

作　　者：王金伟[1] 刘光杰[1] 戴跃伟[1] 王执铨[1] 

机构地区：[1]南京理工大学自动化系,江苏南京210094

出　　处：《信息与控制》2005年第5期591-599,共9页Information and Control

基　　金：国家自然科学基金资助项目(60374066);江苏省自然科学基金资助项目(BK2002101);博士点基金资助项目(20020288052)

摘　　要：对以固定强度嵌入的乘性扩频水印的最优检测模型进行了研究.分别利用整体参数估计和局部参数估计方法对DFT、DCT和DWT域内最优检测的分布模型参数进行了估计,并就这两种参数估计的最优检测方法做出比较.通过实验得到以下结论:在无攻击条件下,局部参数估计的性能优于整体参数估计的性能;在有攻击条件下,整体估计的性能要好于局部参数估计的性能;压缩攻击会导致水印误检概率的增加,不同的攻击对模型造成的影响不同.*This paper studies the optimum detection model of the multiplicative spread-spectnnn watermark embedded by fixed strength. The parameters of the distribution models for optimum detections in DFT, DCT and DWT domains are estimated in global range and local range respectively, and the optimum detection performances of the two parameter estimation methods are compared. Experimental results show that the performance of local parameter estimation is superior to that of global parameter estimation when there are no attacks, and the performance of local parameter estimation is worse than that of global parameter estimation when there are attacks. Additionally, the JPEG attack leads to the increase of the false positive probability, and different attacks have different effects on the distribution model.

关 键 词：数字水印 最优检测 固定强度 整体参数估计 局部参数估计 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程]