• DocumentCode
    2690558
  • Title

    Doctored JPEG image detection

  • Author

    Li, Weihai ; Yu, Nenghai ; Yuan, Yuan

  • Author_Institution
    MOE-Microsoft Key Lab. of Multimedia Comput. & Commun., Univ. of Sci. & Technol. of China, Hefei
  • fYear
    2008
  • fDate
    June 23 2008-April 26 2008
  • Firstpage
    253
  • Lastpage
    256
  • 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.
  • Keywords
    object detection; watermarking; blind approach; block artifact grid; copy-paste forgery; copy-paste procedure; copy-paste trail; doctored JPEG image detection; vision flaw; Discrete cosine transforms; Forensics; Forgery; Image analysis; Image coding; Laboratories; Protection; Quantization; Transform coding; Watermarking; DCT grid; JPEG standard; Passive image forensics; block artifact; copy-paste forgery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo, 2008 IEEE International Conference on
  • Conference_Location
    Hannover
  • Print_ISBN
    978-1-4244-2570-9
  • Electronic_ISBN
    978-1-4244-2571-6
  • Type

    conf

  • DOI
    10.1109/ICME.2008.4607419
  • Filename
    4607419