摘要
为了提高秘密数据传输的可靠性和安全性 ,本文以语音段分形维数计算为基础 ,提出一种检测时不需要原始语音信号的自适应语音信息隐藏方法 .语音段的秘密信息嵌入位置和数量由人类听觉感知特性和分形维数确定 ,在保证不可察觉性的前提下 ,兼顾了鲁棒性和隐藏量的要求 .仿真实验表明该算法具有较好的信息隐藏性能 .
An information hiding algorithm based on fractal dimension is proposed in this paper. The secret data is embedded into the Discrete Fourier coefficients of digital speech signals. It can be applied to unobtrusive communication. The embedding positions and amounts of the secret data are determined by HAS(Human Audio System) features and fractal dimensions of speech segments. Detection and extraction of the secret data can be implemented without original speech signals. The implementation results demonstrate the better steganographic capability of this algorithm.
出处
《武汉大学学报(理学版)》
CAS
CSCD
北大核心
2003年第3期313-317,共5页
Journal of Wuhan University:Natural Science Edition
基金
国家十五攻关项目资助 ( 2 0 0 1BA2 10A0 2 )
武汉大学软件工程国家重点实验室开放基金资助项目