提出了一种基于多分辨率分析的音频水印算法.首先通过对音频信号进行小波分解得到信号的时变低频分量,然后通过扩频和改进离散余弦变换将水印信息分散嵌入低频分量;最后通过误差修正获得较高的水印提取准确率、该算法增大了水印信号的嵌入量,在保证水印安全性和隐蔽性的同时,对常见的信号处理还具有较好的鲁棒性.
An algorithm for audio watermarking based on multiresolution analysis is proposed. The algorithm deals with the audio signal using a wavelet decomposition to get the time-variant low frequency components of the audio signal. Then, the spectrum of the low frequency components is spread and the watermark is embedded into the low frequency components spread by using the MDCT (modified discrete cosine transform). The better veracity of extracting the watermark is assured by using error correction. By using the method, the amount of the embedded watermark bits is increased and the security and imperceptibility of the embedded watermark are ensured. In the mean time, the watermarking scheme is also robust to the common signal processing.