Abstract: Nowadays, digital images can be easily modified by using software. In this paper, a new blind approach is proposed to detect copy-paste trail in a doctored JPEG image, i.e., to check whether a copied area came from the same image or not. When a copy-paste procedure is done on an image, especially adding or hiding an object, the block artifact grid contained in the copy-pasted slice is moved together. Since a slice must be placed properly in the target image to avoid obvious vision flaw, the grid in the slice mismatches to the original grid in the target image normally. Our approach utilizes the mismatch information of block artifact grid as a clue of copy-paste forgery. Experiment results demonstrate the efficiency of the proposed approach.

  author       = {Weihai Li and Nenghai Yu and Yuan Yuan},
  url          = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4607419},
  pages        = {253--256},
  title        = {Doctored {JPEG} image detection},
  year         = {2008},
  keywords     = {Image Forensics; Tamper Detection; JPEG},
  booktitle    = {Proceedings of the 2008 IEEE International Conference on Multimedia and Expo (ICME 2008)},