• DocumentCode
    1412310
  • Title

    Detecting Image Forgery Using Perspective Constraints

  • Author

    Yao, Heng ; Wang, Shuozhong ; Zhao, Yan ; Zhang, Xinpeng

  • Author_Institution
    Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China
  • Volume
    19
  • Issue
    3
  • fYear
    2012
  • fDate
    3/1/2012 12:00:00 AM
  • Firstpage
    123
  • Lastpage
    126
  • Abstract
    In visual perception, distant objects appear smaller than those close to the observer. To insert an object into an image, properly size a foreign object is difficult, especially when there is no reference object in the same distance. To detect this type of image forgery, we present a perspective-constraint based method, with which the height ratio of two objects in an image can be determined without any knowledge of the camera parameters. Assuming that the camera is held leveled and with negligible tilt, the height ratio can be found merely by a vanishing line of the plane on which both objects of interest is situated. Once the estimated ratio exceeds a tolerable interval, a forged region is identified. Experimental results show efficacy of the method even if the images to be tested have been down-sampled or compressed with a low quality factor.
  • Keywords
    data compression; image coding; object detection; camera parameters; distant objects; height ratio; image forgery detection; perspective-constraint based method; visual perception; Cameras; Estimation; Forgery; Image edge detection; Lighting; Optical imaging; Transmission line matrix methods; Image forensics; image forgery detection; perspective constraint;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2011.2182191
  • Filename
    6119200