Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (30): 166-168.DOI: 10.3778/j.issn.1002-8331.2010.30.049

• 图形、图像、模式识别 • Previous Articles     Next Articles

Survey of digital forensics technology for image resampling detection

YAO Heng,WEI Wei-min,TANG Zhen-jun   

  1. School of Communication and Information Engineering,Shanghai University,Shanghai 200072,China
  • Received:2009-03-11 Revised:2009-04-24 Online:2010-10-21 Published:2010-10-21
  • Contact: YAO Heng

重采样图像的盲检测技术

姚 恒,魏为民,唐振军   

  1. 上海大学 通信与信息工程学院,上海 200072
  • 通讯作者: 姚 恒

Abstract: 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.

Key words: digital forensics, image interpolation, tampering identification, passive authentication

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。

关键词: 数字取证, 图像插值, 篡改检测, 被动认证

CLC Number: