提出了一种提升小波变换和混沌加密的数字声频水印算法。先对声频信号进行提升小波变换,通过修改提升小波变换系数的统计平均值:来实现同步码和水印信息的嵌入,利用听觉掩蔽阈值来自适应确定最佳嵌入强度,以保证嵌入隐藏信息对人耳的不可感知性;为了改善水印的安全性,采用改进logistic混沌映射产生密钥序列对隐藏信息进行加密。实验结果表明:与传统的傅里叶变:涣、余弦变换、小波变换的声频水印方案相比,本文方法具有更好的不可感知性和安全性,且能够更加有效地抵抗各种常见信号处理攻击。
This :paper proposes an audio watermarking algorithm that makes use of lifting wavelet transformation and chaotic encryption. We first perform the lifting wavelet transformation on the audio signal. By modifying the statistical mean value of the, lifting wavelet parameters, we can acquire a synchronization code and the information necessary to embed the waterraark. We can also adaptively ensure the best embedding strength by using masking thresholds. This guarantees that the embedded information cannot be perceived by human ears. In order to improve the security of the watermark, we make use of improved logistic chaotic mapping to generate a ciphering key sequence that can hide the messages. Results show that the method of this paper has better transparency and security than the traditional audio watermarking schemes based on the fourier transformation, the cosine transformation and the wavelet transformation. Additionally, it is more effectively robust against the attacks of various common signal processing.