supported by the National Natural Science Foundation of China(No.61305046);the Natural Science Foundation of the Jilin Province(No.20140101193JC,No.20130522117JH,No.20150101055JC)
To detect copy-paste tampering,an improved SIFT(Scale invariant feature transform)-based algorithm was proposed.Maximum angle is defined and a maximum angle-based marked graph is constructed.The marked graph feature v...
Project(61172184) supported by the National Natural Science Foundation of China;Project(200902482) supported by China Postdoctoral Science Foundation Specially Funded Project;Project(12JJ6062) supported by the Natural Science Foundation of Hunan Province,China
A blind digital image forensic method for detecting copy-paste forgery between JPEG images was proposed.Two copy-paste tampering scenarios were introduced at first:the tampered image was saved in an uncompressed forma...
This work is supported by the National High Technology Research and Development Program of China (863 Program) (No.2008AA01Z418) and the National Natural Science Foundation of China (No.60572111).
Exposing digital image forgeries is a major challenge for photography authentication and forensics investigations which aims at proving the authenticity of digital photos. In this paper, we introduce a digital image f...