基于盲源分离的小波域多重音频水印方法

该文利用盲源分离理论，提出一种小波域的多重音频水印方法。为了解决多水印嵌入过程中经常需要考虑的嵌入顺序问题，同时增强水印方法的安全性，本文将两路水印信号与一路等长的混沌序列进行混合，得到嵌入水印信号。然后，利用线性混合方法，将嵌入水印信号与选定的小波系数进行混合，得到隐秘信号。水印提取时，利用独立分量分析算法，提取嵌入水印信号，再经过后处理过程，得到原始水印。该水印方案是一种盲水印方法，可以将多个作者信息同时嵌入到音频作品中，而不需要考虑水印的嵌入顺序。实验结果表明，该方法对常规的信号处理操作具有良好的鲁棒性，以及良好的抵抗时间轴同步攻击的能力。

A DWT Domain Multiple Watermarking Scheme Based on Blind Source Separation

A DWT domain multiple watermarking scheme based on blind source separation is proposed in this paper. In consideration of the embedding order and safety, two original watermarks are mixed with a chaotic sequence to generate an embedding watermark signal. Then the host audio signal is transformed into wavelet domain to obtain the low frequency coefficients and the embedding watermark is embedded in with the linear mixing model. In the extraction procedure, the FastICA is applied to obtain the embedding watermark signal and the original watermark signals. The scheme is a blind watermarking method and need not consider the embedding order. The experimental results show that the method proposed in this paper is robust against most common signal processing and the time-scale modification.