• DocumentCode
    257982
  • Title

    Blind inpainting forgery detection

  • Author

    Dang Thanh Trung ; Beghdadi, Azeddine ; Larabi, Mohamed-Chaker

  • Author_Institution
    L2TI, Univ. Paris 13, Paris, France
  • fYear
    2014
  • fDate
    3-5 Dec. 2014
  • Firstpage
    1019
  • Lastpage
    1023
  • Abstract
    The increasingly use of digital images in our daily life and the availability of powerful software for processing and editing images, open new challenges regarding illegal or unauthorized image manipulation. Thus, it becomes essential to authenticate digital copies, validate their content, and detect possible forgeries. In this paper, we focus on detection of a specific type of digital forgery, inpainting, where an object is removed using pixels coming from the same image. The problem of inpainting detection is investigated and an efficient and reliable detection method is proposed. The performance of the proposed method is demonstrated on several inpainted images using different inpainting techniques.
  • Keywords
    image forensics; image restoration; authenticate digital copies; blind inpainting forgery detection; digital images; illegal image manipulation; image editing; image pixels; image processing; object removal; unauthorized image manipulation; Detection algorithms; Digital images; Feature extraction; Forgery; Multimedia communication; Signal processing; Signal processing algorithms; Inpainting forgery detection; digital image forensics; digital tamper detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal and Information Processing (GlobalSIP), 2014 IEEE Global Conference on
  • Conference_Location
    Atlanta, GA
  • Type

    conf

  • DOI
    10.1109/GlobalSIP.2014.7032275
  • Filename
    7032275