基于分数阶小波变换的图像隐写分析

摘要

In order to improve the detection performance of the existing image steganography algorithm,a novel image steganalysis algorithm based on fractional wavelet transform is proposed.First,the image was simply mapped into the time-frequency domain of the fractional wavelet by two-dimensional fractional wavelet transform.Then,principal component analysis was used to extract the principal component characteristic statistics of the high frequency subbed in the time-frequency domain,the principal component information entropy was calculated,and the sensitive feature was constructed.Finally,extraction features in this paper were classified by a support vector machine.Through the simulation experiment,this paper used the presented algorithm to detect the steganalysis results in multi-rate of three kinds of steganography algorithm.Simulation results show that the proposed algorithm can effectively improve the accuracy of steganalysis.%为了提高现有的图像隐写分析算法的检测性能,提出一种基于分数阶小波变换的图像隐写分析算法.该算法首先通过二维分数阶小波变换将图像映射到分数阶小波时频域内.然后在时频域内使用主成分分析提取隐写图像高频子带的主成分特征统计量、计算主成分的信息熵、构建敏感特征向量.最后采用支持向量机(SVM)对该算法所提特征进行分类.通过仿真实验利用所提算法分别对三种隐写算法下不同嵌入率的隐写结果进行检测,结果表明该算法可有效提高隐写分析准确率.