图像隐写分析中小波系数相关性的研究与应用*

提出了一种针对空域图像隐写的盲检测方法。利用互信息分析秘密信息嵌入对图像小波系数在尺度方向和空间方向相关性的影响，使用马尔可夫模型挖掘小波系数层内和层间相关性，提取转移概率矩阵作为特征。针对LSB匹配和随机调制隐写算法的实验表明，此方法能有效检测未经JPEG压缩过的含密图像，相比现有空域盲检测方法，对低嵌入率含密图像的正确检测率提高约8%14% 。

Study on dependencies between wavelet coefficients for image steganalysis and its application

The paper proposed a new blind image steganalysis scheme for spatial domain image steganography. It exploited mutual information to analyse the change on the scale and orientation dependencies between wavelet coefficients which was caused by the embedding of a message. Applied Markov model to model the dependencies between wavelet cofficients so as to extract intrascale and interscale transition probability matrices. The experiments on LSB matching and stochastic modulation steganography show the method can detect uncompressed stego images reliably. For low embedding rate stego images, the detection accuracy of this method exceeds those of its closest competitors by at least 8% and up to 14%.