摘要
提出了一种基于奇异值分解和均值量化的音频数字水印算法。该算法首先把原始音频信号分段矩阵化,然后对每分段所对应的矩阵进行奇异值分解,选取其相应的奇异值,通过均值量化方法嵌入二值图像水印,实现了音频信号中水印的嵌入。仿真实验结果表明,该音频水印算法对噪声干扰、低通滤波和重新采样等信号处理具有更好的鲁棒性。
A digital audio watermarking algorithm based on SVD （Singular Value Decomposition） and mean quantization are presented. First, the audio signal is divided into sections and SVD of the divided signals is made. Then relative singular values are chosen and embedded into the watermark image by mean quantization method. Experimental results show that the algorithm in this paper is robust to many attacks, such as noise addition, low pass filtering and resampling.
出处
《武汉理工大学学报（信息与管理工程版）》
CAS
2007年第7期13-16,共4页
Journal of Wuhan University of Technology：Information & Management Engineering
基金
教育部高等学校博士点基金资助项目(20060497005)
