JPEG图像篡改的盲检测技术  

Blind detection of doctored JPEG images

作　　者：魏为民[1] 

机构地区：[1]上海电力学院计算机与信息工程学院,上海200090

出　　处：《计算机工程与应用》2010年第34期164-166,共3页Computer Engineering and Applications

基　　金：上海市教育委员会科研创新项目资助(No.11YZ194)

摘　　要：数字图像被动认证技术是一门不依赖数字水印或者签名等图像先验知识而对图像来源和内容真实性进行认证的新兴技术,JPEG图像篡改的盲检测已成为当前被动认证的研究热点。详细分析了三种基于JPEG压缩的盲检测算法:JPEG压缩历史检测和量化表的估计,块效应不一致性的篡改区域检测,JPEG二次压缩的检测,系统阐明了现有算法的基本特征和优缺点,最后展望了未来的研究方向。Passive image forensics,a technology of detecting image authenticity and source without relying on any pre-extraction or pre-embedded information, has become a hot topic with broad prospect in multimedia security.Blind detection of doctored JPEG images is one of the most important issues in digital forensics and has become a hotspot in recent years.It can be classified into three kinds.One is the identification of bitmap compression history and estimation of primary quantization matrix.The others are detecting forgeries by measuring inconsistencies of blocking artifact and detection of composite images based on double compressed JPEG images.In this paper, a full discussion of three kinds are devoted, and has a prospect of future research directions.

关 键 词：数字取证 被动认证 JPEG二次压缩 篡改检测 

分 类 号：TP391.6[自动化与计算机技术—计算机应用技术]