In this paper, a robust and highly imperceptible audio watermarking technique is presented based on discrete cosine transform (DCT) and singular value decomposition (SVD). The low-frequency components of the audio signal have been selectively embedded with watermark image data making the watermarked audio highly imperceptible and robust. The imperceptibility of proposed methods is evaluated by computing signal-to-noise ratio and by conducting subjective listening tests. The robustness of proposed technique is evaluated by computing bit error rate and average information loss in retrieved watermark image subjected to MP3 compression, AWGN, re-sampling, re-quantization, amplitude scaling, low-pass filtering, and high-pass filtering attacks with high data payload of 6 kbps. The information-theoretic approach is used to model the proposed watermarking technique as discrete memoryless channel. The Shannon’s entropy concept is used to highlight the robustness of proposed technique by computing the information loss in retrieved watermarked image.

中文翻译：

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基于DCT-SVD变换的鲁棒音中图水印技术

在本文中，提出了一种基于离散余弦变换 (DCT) 和奇异值分解 (SVD) 的鲁棒且高度不易察觉的音频水印技术。音频信号的低频分量已经选择性地嵌入了水印图像数据，使带水印的音频高度不易察觉和鲁棒。通过计算信噪比和进行主观听力测试来评估所提出方法的不可感知性。所提出的技术的鲁棒性是通过计算受 MP3 压缩、AWGN、重采样、重量化、幅度缩放、低通滤波和高通滤波攻击的检索水印图像的误码率和平均信息损失来评估的。 6 kbps 的高数据负载。信息论方法用于将所提出的水印技术建模为离散无记忆信道。香农熵概念用于通过计算检索到的水印图像中的信息损失来突出所提出技术的鲁棒性。