基于小波包分析的数字音频双水印算法

针对以往双水印算法鲁棒性不高和定位不准确的问题，提出一种基于小波包分析的数字音频双水印算法。算法对原始音频信号进行小波包分解，在得到的低频系数和中低频系数中嵌入零水印和半脆弱水印。改进的零水印算法鲁棒性有了很大的提高，能更好地完成音频信号的版权保护；对中低频系数采用量化的方法嵌入二值水印图像，有别于以往算法需将二维图像转换为一维序列，不会对零水印的提取产生影响。该方法对一系列常规处理和幅度缩放都有较好的鲁棒性，不但能确定水印图像遭恶意篡改的位置，而且能够定位原始载体音频的篡改位置，真正实现了对音频信号的内容认证。

Digital audio dual watermarking scheme based on wavelet packet analysis

Aiming at solving the problems of previous dual watermarking algorithm,such as poor robustness and inaccurate positioning,a wavelet packet analysis-based digital audio dual watermarking scheme was presented.In this scheme,zero-watermarking and semi-fragile watermarking were embedded into the low-frequency coefficients and the intermediate low-frequency coefficients of wavelet packet decomposition for the original audio signal.The robustness of improved zero-watermarking algorithm has been greatly increased;...