基于小波变换和Torus自同构的音频内容认证方法

New Audio Content Authentication Algorithm Based on Wavelet Transform and Torus Automorphism Mapping

本文提出了一种基于小波变换和Torus自同构映射的音频内容认证的水印方案,其基本思想为:把音频信息分成互不相交的长度为8的音频段,在每一段中提取其特征作为水印信息;利用Torus自同构变换,把从每一个音频段提取的水印信息嵌入到它的Torus自同构段的小波变换的细节分量系数上去.该算法在水印的嵌入、提取和篡改定位时均无需额外的水印信息,能较精确地对篡改进行定位,具有易于实现,执行效率高等优点,具有较高的理论和应用价值.

A new Audio content authentication algorithm based on wavelet transform and Torus automorphism mapping was presented. The properties of the audio were analyzed according to wavelet coefficients, and they were encoded to derive watermarking which embedded into Torus automorphism mapping image. The experimental show that the proposed algorithm has the advantages such as simple computation complexity, high accurate location for tamper.