基于DCT系数的量化音频水印

Quantization audio watermarking based on DCT coefficients

近年许多水印算法被提出并应用到图像和视频中去,相较于人类视觉系统,听觉系统的敏感性使得音频水印的实现要难于图像视频水印。为了提高音频水印的不可见性,提出一种离散余弦变换(DCT)的量化音频水印算法,先是基于能量将原始音频分为两部分,对能量较大的部分进行分块离散余弦变换,然后对变换之后的中频系数均值采用量化索引调制(QIM)嵌入Arnold置乱后的二进制水印图片,保证水印的嵌入对原始音频的影响在听觉觉察范围之内。实验结果表明,算法具有很好的不可见性,并且对MP3压缩和噪声具有较好的鲁棒性。

Nowadays many watermarking algorithms have been proposed and implemented for images and video.Compared to the human visual system,the sensitivity of the auditory system makes the audio watermarking more difficult to realize.In order to improve the invisibility of the audio watermarking,this paper presents an audio watermarking algorithm which is based on the quantization of discrete cosine transform（DCT）,first the original audio is divided into two parts due to the energy,and do the discrete cosine transform on the larger part,then the Arnold scrambled binary watermark image is embedded into the mean value of the middle frequency coefficients using quantitative index modulation（QIM）,And ensure that the embedding watermark on the original audio within the range of hearing range.Experimental results show that the algorithm has good invisibility,and have robust of MP3 compression and noise.