Markov隐写检测特征的一种新设计  

New Design of Markov Steganalytic Features

作　　者：张昊[1] 平西建[1] 

机构地区：[1]解放军信息工程大学,郑州450002

出　　处：《电子与信息学报》2013年第8期1907-1913,共7页Journal of Electronics & Information Technology

基　　金：国家自然科学基金(60970142)资助课题

摘　　要：如何在保持Markov特征隐写检测能力的同时降低其维数是隐写分析领域中一个重要问题。该文通过将空域图像各向同性的统计假设扩展到离散余弦变换(DCT)域,给出了一种新的特征设计方法。该方法可将传统的块内特征的维数降低36%,块间特征的维数降低72%,且广泛地适用于不同提取源不同阶数的Markov特征。实验表明,该文的设计方法降低维数的同时还提高了特征的检测性能。How to reduce Markov features’ dimensionality while keeping their steganalytic ability is an important issue in the field of steganalysis.This paper generalizes the statistical hypothesis that images are isotropic from spatial domain to Discrete Cosine Transform（DCT） domain,and provides a new design method.The proposed method is suitable for Markov features of different orders with respect to different sources of extraction and it can effectively deduce the dimensionality of Markov features.Concretely,it can reduce the dimensionality of traditional intrablock features by 36% and that of interblock features by 72%.Experimental results show that the proposed method can also enhance the features’ detection ability.

关 键 词：隐写分析 Markov特征 降维 联合图像专家组（JPEG） 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]