一种新的自适应量化数字音频水印算法

文章中提出了一种新的自适应量化数字音频水印算法，该算法首先将视觉可辨的二值水印图像降维成一维水印序列，并对水印序列进行随机置乱与BCH纠错编码，再将原始数字音频信号划分成音频数据段，最后选择音频段进行快速傅立叶变换(FFT)，并依据人类听觉系统(HAS)模型自适应确定量化步长量化FFT系数嵌入水印信息。该算法提取水印信息时不需要原始数字音频信号。仿真结果表明：该自适应量化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、重新采样等攻击均具有较好的鲁棒性。

Digital audio watermarking algorithm based on adaptive quantization

In this paper, a new digital audio watermarking algorithm based on adaptive quantization is presented. A visually recognizable binary watermark image is first converted into a one-dimensional sequence. The sequence is permuted pseudo-randomly and modulated using BCH coding. Then the original digital audio signal is converted into segments and some audio segments are selected. Finally the modulated watermarking signal is embedded into the FFT coefficients by means of adaptive quantizaiton. The proposed algorithm can extract the watermark without the original audio signal. Experimental results show that the proposed watermarking scheme is inaudible and robust against various signal-processing operations such as noise addition, lossy compression, low pass filtering, re-sampling, and re-quantization.