基于内容的自适应小波域数字音频水印算法研究

Content-Based Adaptive Digital Audio Watermarking Algorithm in Wavelet Domain

以整型提升小波变换、静态图像压缩编码、人类听觉系统(HAS)为基础,提出了一种将灰度图像(即二维数字水印)嵌入到数字音频信号的新水印算法.该算法具有以下特点:(1)应用静态图像压缩编码技术,实现了以灰度图像作为水印信号的数字音频水印算法;(2)充分利用人类听觉系统(HAS),实现了二维数字水印的自适应嵌入,增强了算法的透明性和鲁棒性;(3)二维数字水印的提取不需要原始音频信号.仿真实验表明:该自适应数字音频水印算法不仅具有较好的透明性,而且对诸如叠加噪声、有损压缩、低通滤波、重新采样、重新量化等攻击均具有较好的鲁棒性.

In this paper, a new content-based adaptive digital audio watermarking algorithm in wavelet domain is presented. By still image compression technique, integer lifting wavelet transform, and human audio system （HAS）, the g-dimension digital watermark （gray image） can be embedded adaptively into the digital audio signals in our watermarking algorithm. The algorithm can extract the watermark without the help from the original digital audio signal. Experimental results show that the proposed watermarking scheme is inaudible and robust against various signal processing such as noisie adding, lossy compression, low pass filtering, re-sampling, and re-quantifying.