Robust audio watermarking scheme via QIM of correlation coefficients using LWT and QR decomposition

Jinfeng Li, Tao Wu
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引用次数: 13

Abstract

In order to realize the copyright protection of audio information and improve the security of the watermarking algorithm, a secure robust audio watermarking algorithm via quantization of the random correlation coefficients in lifting wavelet transform domain and QR decomposition is proposed Firstly, lifting wavelet transform is performed on the audio data, the approximate components are mapped into matrix, and QR decomposition is done to the blocks of the matrix. The watermark is embedded by quantization the correlation coefficient of R matrix vector and a random vector using quantization index modulation. Simulation results show that the algorithm not only have good imperceptibility and high embedding capacity, but also strong robustness against common signal processing, such as noise addition, resampling, low-pass filtering, re-quantization, MP3 compression and so on.
基于LWT和QR分解的相关系数QIM鲁棒音频水印方案
为了实现音频信息的版权保护和提高水印算法的安全性,提出了一种基于提升小波变换域随机相关系数量化和QR分解的安全鲁棒音频水印算法。首先对音频数据进行提升小波变换,将近似分量映射到矩阵中,并对矩阵的分块进行QR分解。采用量化指标调制的方法将R矩阵向量和随机向量的相关系数量化嵌入水印。仿真结果表明,该算法不仅具有良好的不可感知性和较高的嵌入容量,而且对噪声添加、重采样、低通滤波、重量化、MP3压缩等常见信号处理具有较强的鲁棒性。
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