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计算机工程 ›› 2009, Vol. 35 ›› Issue (5): 150-152. doi: 10.3969/j.issn.1000-3428.2009.05.052

• 安全技术 • 上一篇    下一篇

基于Contourlet变换的乘性水印及盲检测算法

朱香卫1,肖 亮2,吴慧中2   

  1. (1. 南京铁道职业技术学院苏州校区,苏州 215031;2. 南京理工大学计算机科学与技术学院,南京 210094)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2009-03-05 发布日期:2009-03-05

Multiplicative Watermarking and Blind Detection Algorithm Based on Contourlet Transform

ZHU Xiang-wei1, XIAO Liang2, WU Hui-zhong2   

  1. (1. Suzhou Campus, Nanjing Institute of Railway Technology, Suzhou 215031; 2. Institute of Computer Science and Technology, Nanjing University of Science & Tech., Nanjing 210094)
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-03-05 Published:2009-03-05

摘要: 基于Contourlet变换对其高频系数进行统计分析,从理论和实验方面证明Contourlet变换的高频系数符合广义高斯分布,采用极大似然估计的方法对Contourlet变换系数的边缘分布和联合分布进行拟合,提出一种Contourlet变换域乘嵌入水印及盲检测框架。实验证明,所提出水印检测器具备良好的检测性能。

关键词: Contourlet变换, 广义高斯分布, 乘嵌入水印, 盲检测

Abstract: Based on Contourlet transformation knowledge foundation, the Contourlet transformation high frequency coefficients is carried on the statistical analysis. The theory and the experiment proves that the Contourlet transformation high frequency coefficient conforms to the generalized Gaussian distribution, adopting the estimation of marginal and joint statistical distribution of Contourlet coefficients via the method of maximum likelihood estimator. Embedded multiplicative watermarking and blind detection frame is presented in the Contourlet transformation domain. Experiments prove watermarking detector with a good detection performance.

Key words: Contourlet transform, generalized Gaussian distribution, embedded multiplicative watermarking, blind detection

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