• DocumentCode
    2818957
  • Title

    Identifying Image Authenticity by Detecting Inconsistency in Light Source Direction

  • Author

    Lv, Yingda ; Shen, Xuanjing ; Chen, Haipeng

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun, China
  • fYear
    2009
  • fDate
    19-20 Dec. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Inconsistency in light source direction resulted from image forgery is one of the traces which cannot be removed. Hereby, a blind identification to distinguish the image authenticity by detecting inconsistency in light source direction was proposed. The search means and least-squares method were used to calculate the light source direction for local and infinite light source images respectively, in accordance with the error function between the actual intensity and calculated intensity, as well as the constraint function suitable for different light source models. And, by analyzing if the light source directions between different objects and background in one image are consistent to determine whether the image had been altered. Experimental results showed that the correct detection rates of blind identification for local and infinite light source images were 87.31% and 85.47% respectively.
  • Keywords
    blind source separation; image processing; least squares approximations; light sources; blind identification; image authenticity identification; image forgery; inconsistency detection; least-squares method; light source direction; search means; Brightness; Computer science; Educational institutions; Forgery; Image generation; Light sources; Reflectivity; Rough surfaces; Space technology; Surface roughness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4994-1
  • Type

    conf

  • DOI
    10.1109/ICIECS.2009.5363457
  • Filename
    5363457