基于奇异值分解和小波变换音频水印算法的研究  

Research of Watermarking Algorithm Based on Singular Value Decomposition and Wavelet Transform

作　　者：杨立[1] 胡磊 

机构地区：[1]黑龙江八一农垦大学信息技术学院,大庆163319 [2]大庆物资装备集团

出　　处：《黑龙江八一农垦大学学报》2011年第2期66-68,共3页journal of heilongjiang bayi agricultural university

摘　　要：提出了一种基于奇异值和小波变换的音频水印算法,该算法利用线性代数中的奇异值有良好稳定性,通过SVD提取特征的方法来实现水印同步位置的确定,然后利用小波变换算法将水印嵌入到原始音频的中低频小波系数上,完成水印的嵌入并对水印进行提取。实验证明该算法具有很强的鲁棒性。The novel audio watermarking algorithm based on singular value decomposition and wavelet transform is proposed in this paper.Based on the stability of SVD,through the SVD feature extraction method to determine the location of the synchronization watermark,and then use the wavelet transform algorithm to embed the watermark in the low frequency wavelet coefficients of original audio to complete the watermark embedding and extraction.Experimental results show that the algorithm has strong robust.

关 键 词：奇异值 水印 嵌入 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]