An adaptive audio watermarking based on the singular value decomposition in the wavelet domain
An adaptive audio watermarking based on the singular value decomposition in the wavelet domain
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DOI：
10.1016/j.dsp.2010.02.006
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发表时间：
2010-12-01
影响因子：
2.9
通讯作者：
Das, Abhijit
中科院分区：
文献类型：
--
作者：
Bhat, Vivekananda K.;Sengupta, Indranil;Das, Abhijit
本文提出了一种基于奇异值分解（SVD）和同步码的离散小波变换域自适应音频水印算法。在我们的算法中，水印嵌入通过应用量化索引调制过程中的奇异值的小波域块。加水印的信号在感知上类似于原始音频信号，并给出高质量的输出。实验结果表明，该算法对加性噪声、恢复、低通滤波、重量化等具有较好的鲁棒性。MP3压缩、裁剪、回声添加和去噪。所提出的方案的性能分析表明，低错误概率率。该方案的数据嵌入速率为45.9bps。该方案具有较高的有效载荷和上级性能对MP3压缩相比，早期的音频水印方案。(C)2010年爱思唯尔公司All rights reserved.
This paper presents a secure, robust, and blind adaptive audio watermarking algorithm based on singular value decomposition (SVD) in the discrete wavelet transform domain using synchronization code. In our algorithm, a watermark is embedded by applying a quantization-index-modulation process on the singular values in the SVD of the wavelet domain blocks. The watermarked signal is perceptually similar to the original audio signal and gives high quality output. Experimental results show that the hidden watermark data is robust to additive noise, resampling, low-pass filtering, requantization. MP3 compression, cropping, echo addition, and denoising. Performance analysis of the proposed scheme shows low error probability rates. The data embedding rate of the proposed scheme is 45.9 bps. The proposed scheme has high payload and superior performance against MP3 compression compared to the earlier audio watermarking schemes. (C) 2010 Elsevier Inc. All rights reserved.