基于高斯混合模型的DCT域水印检测方法

林晓丹

doi:10.3724/SP.J.1004.2012.01445

基于高斯混合模型的DCT域水印检测方法

doi: 10.3724/SP.J.1004.2012.01445

林晓丹

1.
华侨大学信息科学与工程学院厦门 361021

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- 文章访问数: 1947
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- 被引次数: 0
出版历程
- 收稿日期: 2011-07-28
- 修回日期: 2011-11-10
- 刊出日期: 2012-09-20

DCT-domain Watermark Detection Using Gaussian Mixture Model

LIN Xiao-Dan

1.
College of Information Science and Engineering, Huaqiao University, Xiamen 361021

摘要

摘要: 基于音频DCT系数的统计特征,提出了一种水印检测方法.采用扩频的方法在DCT域嵌入水印, 分别对嵌入水印和未包含水印的音频信号在DCT域进行统计学习,得到对应的高斯混合模型(Gaussian mixture model, GMM). 接收端采用最大似然检测,判断是否嵌入水印并提取相应的水印信息. 仿真结果表明本文的水印检测算法对常见的信号攻击具有鲁棒性,与传统的相关检测法相比,检测可靠性更高.
- 水印检测 /
- DCT域 /
- 高斯混合模型 /
- 最大似然
Abstract: An audio watermark detector is developed based on the statistical characteristics of audio in DCT domain. Watermarks are embedded in DCT domain on a spread spectrum basis. A Gaussian mixture model (GMM) is introduced to model both the watermarked and unwatermarked audio signals in DCT domain. At the receiver a maximum likelihood detector is employed. Simulation results indicate that the proposed method allows for common signal processing and provides a better detecting accuracy compared with the linear correlation detector.
- Watermark detection /
- DCT domain /
- Gaussian mixture model (GMM) /
- maximum likelihood

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参考文献(1)

[1]

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