A blind watermark algorithm in SWT domain using bivariate generalized Gaussian distributions
A blind watermark algorithm in SWT domain using bivariate generalized Gaussian distributions
复制标题
基于二元广义高斯分布的SWT域盲水印算法
DOI：
10.1007/s11042-019-08504-1
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发表时间：
2020-01
影响因子：
3.6
通讯作者：
Li Li
中科院分区：
文献类型：
--
作者：
Niu Pan-Pan;Wang Xiang-Yang;Yang Hong-Ying;Li Li
不可感知性，鲁棒性和有效载荷是任何音频水印系统的三个主要要求，以保证所需的功能，但从信息理论的角度来看，它们之间存在权衡。通常，为了同时增强不可感知性、鲁棒性和有效载荷，应该充分考虑人类听觉系统和音频信号的统计特性。基于统计模型的变换域乘性水印方案体现了上述思想，因此乘性水印的检测和提取受到了广泛的关注。尽管近年来音频水印技术的研究取得了很大的进展，但如何同时提高水印的不可感知性、水印容量和鲁棒性仍然是音频水印领域面临的一个挑战。本文提出了一种基于双变量广义高斯分布的平稳小波变换域音频水印盲解码器，该解码器综合考虑了数字音频平稳小波变换系数的局部统计特性和尺度间相关性，并设计了自适应非线性水印嵌入强度函数。我们的测试结果与不同的主机音频，数字水印，和各种攻击，我们实验证实，所提出的方法相比，国家的最先进的音频水印方法表现良好。
Imperceptibility, robustness, and payload are three main requirements of any audio watermarking systems to guarantee desired functionalities, but there is a tradeoff among them from the information-theoretic perspective. Generally, in order to enhance the imperceptibility, robustness, and payload simultaneously, the human auditory system and the statistical properties of the audio signal should be fully taken into account. The statistical model based transform domain multiplicative watermarking scheme embodies the above ideas, and therefore the detection and extraction of the multiplicative watermarks have received a great deal of attention. Although much effort has been made in recent years, improving the ability of imperceptibility, watermark capacity, and robustness at the same time remains a challenge within the audio watermarking community. In this paper, we propose a blind audio watermark decoder in stationary wavelet transform domain based on bivariate generalized Gaussian distributions, wherein both the local statistical properties and inter-scale dependencies of the stationary wavelet transform coefficients of digital audio are taken into account, and also the adaptive nonlinear watermark embedding strength functions are designed. The results of our tests with different host audios, digital watermarks, and various attacks, we experimentally confirm that the proposed approach performs well compared to the state-of-the-art audio watermarking methods.
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影响因子：
3.2
作者：
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DOI：
10.1109/icc.2009.5199424
发表时间：
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期刊：
2009 IEEE International Conference on Communications
影响因子：
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