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基于广义高斯分布模型的小波域自适应盲水印方案
引用本文:范俊峰,赵友军,邸兰振. 基于广义高斯分布模型的小波域自适应盲水印方案[J]. 微电子学与计算机, 2006, 23(5): 160-162
作者姓名:范俊峰  赵友军  邸兰振
作者单位:中国科学院研究生院,北京,100039
摘    要:文章提出了一种基于小波系数广义高斯分布模型的自适应盲检测算法.算法通过估计小波各个子带广义高斯分布模型的形状参数,采用局部最优检测器,实现了小波域盲水印的自适应检测.仿真实验结果证明了该方案比符号相关检测器具有更好的鲁棒性.

关 键 词:数字水印  盲水印  广义高斯分布
文章编号:1000-7180(2006)05-003
收稿时间:2005-07-28
修稿时间:2005-07-28

An Adaptive Watermarking Scheme Based on General Gauss Distribution Model of Wavelet Coefficients
FAN Jun-feng,ZHAO You-jun,DI Lan-zhen. An Adaptive Watermarking Scheme Based on General Gauss Distribution Model of Wavelet Coefficients[J]. Microelectronics & Computer, 2006, 23(5): 160-162
Authors:FAN Jun-feng  ZHAO You-jun  DI Lan-zhen
Affiliation:Graduate School of the Chinese Acdemy of Sciences, Beijing 100039
Abstract:In this paper, an adaptive watermarking scheme based on the general Gauss distribution model of wavelet coefficients is proposed. With the estimate of the shape parameter of subset of wavelet eoefficients, a locally optumum detection is used. It is adaptive detection to the images and the subset of the coefficients. It is shown with experiments that the new blind watermarking scheme both has the good transparency and robustness.
Keywords:DWT
本文献已被 CNKI 维普 万方数据 等数据库收录!
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