基于DWT和均值量化的音频水印算法

提出基于小波包的离散小波变换和均值量化的音频水印算法。该算法的主要特点是：1）将音频信号根据嵌入的水印图像大小自适应地分段。利用Arnold变换对水印图像进行预处理，消除水印图像的相关性，提高图像的抗攻击性。2）采用小波包的离散小波变换，增加嵌入和提取效率，提高水印的透明性。3）水印信息嵌入到均值中，有较好的不可感知性。仿真实验表明：嵌入水印后音频的不可感知性较高，能够有效地抗击有损压缩、低通滤波和剪切等攻击。

Audio watermarking scheme based on DWT and mean quantization

This paper presented a blind digital audio watermarking scheme based on wavelet packet and mean quantization. The features of proposed scheme are as follows: 1) Audio signals were decomposed into many segments according to the size of the image watermarking. The image watermarking was preprocessed using Arnold transformation to have a strong robustness to some attack. 2) Discrete wavelet transform (DWT) was used to improve the transparency of digital watermarking. 3) The image watermarking was embedded into the mean of low frequency components by quantization. Experimental result shows that this scheme is inaudible and against some attack such as compression and low pass filter effectively.