一种基于LWT和Logistic混沌映射的自适应音频水印算法

An adaptive watermarking algorithm based on Lifting Wavelet Transform and Logistic chaotic map

基于目前音频水印不能较好地满足透明性、鲁棒性和安全性三方面的要求,在分析研究提升小波变换(LWT)和混沌加密的基础上,提出基于LWT和Logistic混沌加密的自适应算法。首先,采用改进Logistic混沌序列对水印进行加密,其次,在音频信号的LWT系数的统计均值嵌入同步信号和水印信息,同时根据人类听觉特性自适应确定嵌入强度,最后,实现了水印的盲提取。通过仿真试验验证,该算法较好地满足了透明性、鲁棒性和安全性三者的要求,且能够有效地抵抗常见信号处理的攻击。

Based on the current requirements of audio watermarking,which can meet the requirements of transparency,robustness and security,an adaptive algorithm based on Lifting Wavelet Transform and Logistic chaos encryption is proposed. Firstly, the watermark is encrypted by using the improved Logistic chaotic sequence. Secondly, the synchronization signal and watermark information are embedded in the statistical mean of the LWT coefficients of the audio signal,and the embedded intensity is determined adaptively according to the human auditory characteristics. Finally,the blind extraction of the watermark is realized. The simulation results show that the algorithm can meet the requirements of transparency,robustness and security,and effectively resist the attacks of common signal processing.