频谱熵特征识别的抗去同步鲁棒性MP3水印算法

Robust MP3 Audio Watermarking Algorithm Based on MDCT Spectral Entropy Recognition

提出了一种鲁棒的、将离散余弦系数(MDCT)频谱熵修正为隐含同步码的压缩域水印,实现了基于音频内容的自同步。算法结合MP3编解码原理对解压后的音频数据分块实施重复嵌入,并根据心理声学模型的掩蔽效应选取合适的嵌入位置,通过处理低频DWT系数完成嵌入。将非压缩域音频信号重新压缩为含有水印信息的MP3码流。在解码过程中通过频谱熵关系序列定位水印提取位置,实现了水印的盲提取。仿真实验结果表明,算法在保证水印不可感知性的情况下,对抵抗去同步攻击以及Stirmark软件的常见攻击具有良好的鲁棒性。

An innovative robust audio watermarking scheme based on using MI）CT spectral entropy as implicit synchronization to achieve self-synchronization was proposed in this paper. The algorithm makes full use of MP3 compression mechanism to implement reduplicate embedding on audio segments after decoding, combining the masking effect in psy- choacoustic model,determines the suitable low-frequency DWT coefficients to deal with. Signals are reeompressed to form MP3 bitstream which contains watermarking information. Extracting can accomplished without the original audio and is guaranteed by identifying the sequence of MDCT spectral entropy. The experimental results show the proposed scheme itself can achieve good excellent robustness to desynchronizaition attacks and common audio processing methods created by Stirrnark.