基于人类听觉系统的DCT域数字音频脆弱水印算法

以离散余弦变换(DCT)及人类听觉系统(HAS)为基础,提出了一种将二值灰度图像(水印图像)嵌入到数字音频信号的脆弱水印算法.该算法首先对二值水印图像进行置乱变换并编码成一维二进制序列,再对数字音频信号进行分段处理并择段作离散余弦变换(DCT),最后依据人类听觉系统选择DCT域中高频系数进行量化完成水印信息的嵌入.实验结果表明:该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.

A novel fragile digital audio watermarking based on DCT and HAS

A novel fragile digital audio watermarking based on discrete cosine transform(DCT) and human auditory system (HAS) is presented. Firstly, the two-dimensional watermark is scrambled and decreased to a one-dimensional sequence. Secondly, the digital audio signal is segmented and the selected audio segment is decomposed by DCT. Thirdly, the DCT-coefficients are selected based on HAS and quantized for embedding all elements of the watermark sequence. 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 noising adding, lossy compression, low pass filtering, re-sampling and re-quantifying.