基于HMT和ICA的主动隐写分析

详细信息

Active Steganalysis for Stego-image Based on HMT and ICA

¹Dept.of Computer Engineering,Ordnance Engineering College,97 West Heping Road,Shijiazhuang 050003,China

摘要: 提出一种基于HMT预测的ICA盲源分离主动分析方法,该方法仅仅需要得到一幅隐秘图像,并采用小波域HMT(hidden markov tree)模型预测出载体图像的一个估计,最后使用ICA盲分离来提取秘密信息和载体图像。仿真实验给出了该方法提取出的载体图像和秘密信息,并对其进行了分析。
- 主动隐写分析 /
- HMT模型 /
- ICA /
- 仿真
Abstract: Two copies of stego-image are needed in the active steganalysis proposed by Chandramouli,as an improvement,a method of active steganalysis is proposed in which only one copy of stego-image is needed and the practicability is enhanced.An estimate of a cover image by wavelet-domain hidden Markov tree(HMT) is obtained;and the estimate is regarded as another stego-image which is different in the embed ratio.Then cover image and the secret message are separated by using the independent component analysis(ICA).Simulation experiments validate the advantage of HMT model,and give the results of blind separation.
- active steganalysis /
- HMT model /
- independent component analysis /
- simulation