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New Psychoacoustic Models for Avelet Based Audio Watermarking

机译:基于Avelet的音频水印的新心理声学模型

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摘要

The new approach to apply psychoacoustic models to the wavelet based audio digital watermarking is proposed in this paper. In the scheme, the additive watermarking technique is used to embed a unique pseudorandom sequence, considered as a watermark, into the transformed domain of audio signal. The watermark strength is properly adjusted based on weighting factors derived from the proposed psychoacoustic models. The results show that at the equivalent quality of the watermarked audio, judged by the human hearing system, the robustness of the embedded watermark was increased by up to 97.1 % and 21.3 %, compared to the results obtained from the scheme with non-psychoacoustic model and the previous psychoacoustic model, respectively.
机译:提出了一种将心理声学模型应用于基于小波的音频数字水印的新方法。在该方案中,使用加水印技术将唯一的伪随机序列(被视为水印)嵌入到音频信号的转换域中。水印强度是根据从建议的心理声学模型得出的加权因子进行适当调整的。结果表明,在与人耳听觉系统相同的水印音频质量下,与从非心理声学模型获得的结果相比,嵌入水印的鲁棒性分别提高了97.1%和21.3%。和以前的心理声学模型。

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