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基于RDWT-DCT-SVD的鲁棒性音频盲水印算法 被引量:5

Blind and robust audio watermarking scheme based on RDWT-DCT-SVD
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摘要 为进一步实现数字音频媒体版权保护,提出了一种新的用于音频数字媒体版权保护的冗余小波变换(RDWT)、离散余弦变换(DCT)和奇异值分解(SVD)相结合的音频水印算法。将冗余小波变换引入音频水印处理,原始音频分段后进行二级冗余小波变换,将水印信息嵌入原始音频低频逼近分量余弦变换和奇异值分解后的对角矩阵中,实现了水印的盲提取。实验结果表明,该算法具有良好的透明性,对于下采样、低通滤波、MP3压缩、重量化、回声、替换等流行音频信号处理攻击具有很强的鲁棒性。 To realize audio digital media copyright protection, a novel blind and robust audio watermarking scheme based on re dundant discrete wavelet transform (RDWT), discrete cosine transform (DCT) and singular value decomposition (SVD) is pro- posed. In this scheme, RDWT is used in audio watermarking processing. The audio signals are divided into sections. Each sec- tion is decomposed on redundant discrete wavelet transform (RDWT) for two degree. The binary watermarking image is embed- ded into the diagonal matrix after discrete cosine transform and singular value decomposition. The experiments results display that the algorithm can get better balance between transparency and robustness of watermark. It has strong robustness against the popular audio signal attacks such as down-sampling, low-pass filter, MP3 compression, re-quantization, echo and replace- ment.
作者 蔡咏梅
出处 《计算机工程与设计》 CSCD 北大核心 2014年第2期457-461,472,共6页 Computer Engineering and Design
基金 新疆维吾尔自治区高校科研计划青年教师科研培育基金项目(XJEDU2009S15) 全国教育科学规划课题基金项目(FFB108172)
关键词 音频水印 盲水印 冗余小波变换 离散余弦变换 奇异值分解 audio watermark blind watermark redundant discrete wavelets transform iscrete cosine transform singular value decomposition
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参考文献13

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