A Robust Blind Audio Watermarking Scheme Based on Singular Value Decomposition and Neural Networks

被引：0

作者：

Yu Yang

Min Lei

Huaqun Liu

Yongmei Cai

Guoyuan Lin

机构：

[1] Beijing University of Posts and Telecommunications,Information Security Center

[2] National Engineering Laboratory for Disaster Backup and Recovery,School of Information and Mechanical Engineering

[3] Beijing University of Posts and Telecommunications,College of Computer Science and engineering

[4] Beijing Institute of Graphic Communication,School of Computer Science and Technology

[5] Xinjiang University of Finance and Economic,State Key Laboratory for Novel Software Technology

[6] China University of Mining and Technology,undefined

[7] Nanjing University,undefined

来源：

International Journal of Computational Intelligence Systems | 2014年 / 7卷

关键词：

Blind watermarking; singular value decomposition; neural networks; copyright protection;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

The paper proposes a novel blind audio watermarking scheme based on singular value decomposition (SVD) and neural networks (NN), which makes use of memorization and adaptation capabilities of NN. Experimental results show that the proposed watermarking algorithm is strongly robust against several kinds of attacks such as noise addition, re-sampling, re-quantization, MP3 compression, replace and so on. Additionally, the proposed algorithm achieves signal-to-noise radio (SNR) values ranging from 21dB to 48dB for different watermarked sounds and embedded strengths. These results demonstrate that the proposed watermarking method is a suitable candidate for audio copyright protection.

引用

页码：865 / 873

页数：8

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