摘要
文中提出了一种基于置乱加密和离散小波变换(DWT)的音频双水印算法。首先对原始的二值水印图像进行Arnold置乱变换和混沌乱序以生成加密水印图像;再对音频信号进行小波分解,在低频系数中嵌入版权保护水印,在高频系数中嵌入内容认证水印。实验结果表明本文提出水印算法同时具有不可感知性、鲁棒性和脆弱性,对高斯噪声、幅度修改、重采样、重量化攻击具有一定的抵抗能力。
An audio dual watermarking algorithm based on scrambling encryption and Discrete Wavelet Transform(DWT)is proposed in this paper. Firstly,the Arnold scrambling transformation and chaotic outstation are performed on the original binary watermark images to generate encrypted watermark images. Then,the audio signal is decomposed by wavelet,the copyright protection watermark is embedded into the low frequency coefficient while the content watermark is embedded into the high frequency coefficient. The experimental results show that the proposed watermarking algorithm is not detectable,robust and fragile,and has some resistance to Gaussian noise,amplitude modification,resampling and weight attack.
作者
韩颖铮
邓国强
HAN Ying-zheng;DENG Guo-qiang(Network Engineering and Research Center,South China University of Technology,guangzhou 510641,China)
出处
《电子设计工程》
2018年第12期153-156,共4页
Electronic Design Engineering
基金
广东省省级科技计划项目(2015A030401027)
广东省教育厅重点平台及科研项目(2016KQNCX015)
作者简介
韩颖铮(1984-),女,广东揭阳人,硕士,工程师。研究方向:信息安全、网络安全。