多重水印嵌入的DWT-SVD音频公开水印算法  

An Audio Public Watermarking Algorithm Based on Multiple Watermarks Embedding in DWT-SVD Domain

作　　者：杨志疆[1] 叶阿勇[2] 

机构地区：[1]漳州职业技术学院计算机工程系,福建漳州363000 [2]福建师范大学网络安全与密码技术重点实验室,福建福州350007

出　　处：《系统仿真技术》2014年第1期27-31,48,共6页System Simulation Technology

基　　金：福建省中青年教师教育科研资助项目(JA13386);漳州职业技术学院科研计划资助项目(ZZY1315)

摘　　要：提出了一种基于离散小波变换(Discrete Wavelet Transform,DWT)域与奇异值分解(Singular Value Decomposition,SVD)的多重嵌入数字音频水印算法。算法在嵌入水印前采用混沌加密与图像置乱对水印进行双重加密,在选取音频载体的多段数据中,利用DWT的多分辨率特性与SVD值稳定特性的特点,先对各段数据进行多级DWT变换,然后在低频部分选取连续的若干个系数组成矩阵,并对矩阵进行SVD分解,再把加密后的每位水印信息采用量化方法嵌入到SVD值中,实现了水印的多重嵌入。实验表明,该水印方法效率高,透明性好,对常见的音频信号处理具有较强的鲁棒性。A multiple embedding audio watermarking algorithm based on DWT domain and SVD decomposition is proposed. The algorithm proposes to use chaos encrypting and image scrambling as double encryption preprocessing during watermark embedding. In selected multiple segment data, it makes full use of the multi-resolution of DWT and value stable of SVD. The selected audio segments are carried on DWT firstly,then matrix is constructed using the selected some continuous coefficients of low frequency components. The matrix is decomposed by SVD. The encrypted watermark information is embedded in value of SVD by quantification method, and realizes multiple watermarks embedding. Experiments show that the algorithm is good at efficiency and imperceptibility, and has better robustness to common audio processing operation.

关 键 词：多重水印 离散小波变换 奇异值分解 鲁棒性 音频公开水印 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]