基于区域相关性的JPEG图像隐写盲检测方法  

Regional Correlation Based Blind Detection of JPEG Image Steganography

作　　者：李侃[1,2] 平西建[1] 

机构地区：[1]信息工程大学信息工程学院,河南郑州450002 [2]西安通信学院,陕西西安710106

出　　处：《信息工程大学学报》2012年第3期306-311,共6页Journal of Information Engineering University

基　　金：国家自然科学基金资助项目(60970142)

摘　　要：针对JPEG压缩算法,分析了DCT系数的分布特点和统计特征以及块内和块间系数的相关性,提出一种基于区域相关性的JPEG图像隐写盲检测算法。采用宏观校准和微观校准估计出载体图像,以Markov模型描述块内和块间DCT系数的相关性,提取概率转移矩阵的差值作为检测特征,通过支持向量机进行分类,实现了对DCT域多种隐写算法的检测。混合图像库的实验结果表明,该方法的检测性能优于典型的隐写分析算法。Targeting at current compression algorithms for JPEG images, the distribution and statistical features as well as intra-block and inter-block correlations of Discrete Cosine Transform（DCT） coefficients are analyzed in depth. A blind steganalysis approach for JPEG images based on region correlation is proposed. First, macroscopic and microscopic calibrations are combined to estimate cover images. Then, intra-block and inter-block correlations of DCT coefficients are described according to the Markov model. Finally, the differences of transition probability matrices are extracted as characteristics for detection, which are classified by a support vector machine. Hence steganographic algorithms for JPEG images can be determined. Experiments on a mixed image database reveal that the proposed steganalyzer outperforms existing typical steganalyzers.

关 键 词：隐写分析 转移概率矩阵 区域相关性 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]