Audio watermarking scheme based on DWT and mean quantization
基于DWT和均值量化的音频水印算法

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.