一种新的JPEG图像二次压缩检测算法  

New Detection Algorithm of Double Compression in JPEG Image

作　　者：韩晓东[1] 平西建[1] 张涛[1] 

机构地区：[1]解放军信息工程大学信息科学系,郑州450002

出　　处：《计算机工程》2010年第4期140-143,共4页Computer Engineering

基　　金：国家自然科学基金资助项目(60473022)

摘　　要：针对隐写分析中JPEG图像二次压缩的检测问题,提出一种新的压缩检测算法。通过对JPEG一次压缩和二次压缩后的绝对值直方图进行比较,发现直流与交流系数差分绝对值、交流与交流系数差分绝对值在二次压缩后有明显变化。在此基础上提取特征,采用SVM进行分类。实验结果表明,在虚警率小于5%的情况下,该算法检测性能优于Pevny T和Fridrich J提出的算法(IEEE Trans.on InformationForensics and Security,2007,No.2)。This paper proposes a new algorithm for detection of double compression in JPEG image for applications in steganalysis, which based on the analysis of the influences on absolute histogram brought about by the double compression. It compares the histograms of single-compressed and double-compressed images and finds that both the absolute differences of DC and AC coefficients and the absolute differences of AC and AC coefficients change obviously after double compression. Support Vector Machine（SVM） classifiers are trained to detect an image whether double-compressed or not. Experimental results show that the proposed method is better than the algorithm proposed by Pevny T and Fridrich J（IEEE Trans. on Information Forensics and Security, 2007, No.2） while the false positive alarm is controlled under 5%.

关 键 词：隐写分析 JPEG图像 质量因子 二次压缩 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]