This paper presented a blind digital audio watermarking scheme based on wavelet packet and mean quantization.
提出基于小波包的离散小波变换和均值量化的音频水印算法。
参考来源 - 基于DWT和均值量化的音频水印算法This algorithm combines theWavelet Lifting Scheme and characteristic of human eye vision system (HVS ), through puttingthe haphazard pretreatment to the primitive figure, changes its DWT energy distribution , thenembeds watermark data by means-quantization to its low frequency affiliated terrain.
本算法结合小波提升和人眼视觉系统(HVS)特点,通过对原始图像置乱预处理,改变其小波域能量分布,然后将水印数据以均值量化的方式嵌入到其低频子带。
参考来源 - 基于小波提升的数字水印算法的研究The main research work and contributions of the dissertation are as follows:(1) In the discrete cosine transform domain, put forward an audio watermarking algorithm based on mean_quantization.
本文主要研究工作和取得的主要成果如下：(1)在离散余弦变换域，提出了基于均值量化的音频数字水印算法。
参考来源 - 音频数字水印算法的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
在此基础上又采用了加均值量化算法来提高神经网络图像压缩处理的训练速度。
Based on this, we also adopt the adding mean quantization algorithm to improve the neural network training speed of image processing.
这种算法是采用了均值量化的方法，把数字水印嵌入图像的离散小波域，可以检测在空间域和频率域的图像失真。
The watermark was embedded in the wavelet domain using the mean quantization method. This method can be used to detect the distortion both in spatial and frequency domain.
水印信息嵌入采用均值量化方法，将水印信息嵌入到载体音频中； 以11位巴克码作为同步标识，定位水印嵌入位置；
Mean the use of quantitative methods, will watermark embedded in the audio carrier, 11 Barker Code as a synchronous signal, which was used to positioning embedding position.
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