• DocumentCode
    3228380
  • Title

    A novel approach for detecting forged image

  • Author

    Zhang, Zhen ; Zhang, PeiYing ; Yu, Zhou

  • Author_Institution
    Sch. of Electr. Eng., Zhengzhou Univ., Zhengzhou, China
  • fYear
    2010
  • fDate
    23-26 Sept. 2010
  • Firstpage
    958
  • Lastpage
    961
  • Abstract
    The advent of digital technology has not only brought about benefits but also some problems, such as the ease of creating image fogery. In this paper, we present a novel approach for tamper localization, which is based on the edge detection. We first process the input image with a smoothing filter, and then we use the LOG (Laplace-Gaussian Operator) edge detector for edge detection. By the evidence from the above steps, we can finally make judgement on missed edge: if the forged region is connected and its size is not less than 0.85% of the whole image size, we can judge that this forgery is significative. The results of our experiments illustrate that the novel approach can accurately detect the trace of blur operation when composite forgery happens. Besides, this approach can precisely locate the forged region.
  • Keywords
    Gaussian processes; Laplace equations; copy protection; edge detection; smoothing methods; Laplace-Gaussian operator; digital technology; edge detection; forged image detection; forged region; image blur; smoothing filter; tamper localization; Artificial neural networks; Image edge detection; Smoothing methods; LOG; edge extracting; smoothing filter; tamper detection; tamper localization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-6437-1
  • Type

    conf

  • DOI
    10.1109/BICTA.2010.5645130
  • Filename
    5645130