摘要
数字图像取证技术是一门不依赖任何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。重采样检测是数字图像取证的一个重要分支,已成为当前的研究热点。详细分析对比了两类图像重采样盲检测算法:基于期望值最大化的重采样检测和基于差分周期特性的重采样检测,并对当前应用和后续研究进行相关论述。
Digital forensics is an emerging technology of image source identifications and tampering detections,which is without any prior knowledge of the detected images.Resampling detection is one of the most important issues in digital forensics technology and has become a research hotspot in recent years.Currently,the proposed algorithms of resampling detection can be classified into two kinds.One is the Expectation/Maximization(EM) algorithm based method.The other is derivative periodicity based method.In this paper,a full discussion is made to both kinds,and has a prospect of future research directions.
出处
《计算机工程与应用》
CSCD
北大核心
2010年第30期166-168,187,共4页
Computer Engineering and Applications
基金
上海大学研究生创新基金(No.shucx080148)
关键词
数字取证
图像插值
篡改检测
被动认证
digital forensics; image interpolation; tampering identification; passive authentication;