基于 LWT 的双通道双音频水印算法

Xue-song Chen, Hai-man Chen, Hong-bo Bi
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引用次数: 1

摘要

本文提出了一种基于提升小波变换(LWT)的双声道双音频数字水印算法。首先,选择双声道音频,提取左右声道,并在 LWT3 上对左右声道进行分解。选择左右声道的差值作为 LWT3 的第一个低频水印。选择一幅图像作为第二个水印。然后选择嵌入位置,自适应地将水印嵌入左右声道。双水印嵌入和提取算法得以实现。实验结果表明,该算法对噪声、低通等多种攻击具有很强的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The dual-channel double audio watermarking algorithm based on LWT
An algorithm is proposed about a dual channel and double audio digital watermarking based on the lifting wavelet transform (LWT) in this paper. First, a dual channel audio is selected, the left and right channel is extracted, and the left and right channel is decomposed on LWT3. The difference of the left and right channel is selected as the first watermarking on LWT3 in the low frequency. An image is selected as the second watermarking. Then the embedding position is chosen and the watermarking is embedded adaptively into the left and right channel. The double watermark embedding and extracting algorithm is implemented. Experimental results show that the algorithm has strong robustness for many kinds of attacks such as noise, low pass and so on.
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