• DocumentCode
    252327
  • Title

    A scheme for copy-move forgery detection in digital images based on 2D-DWT

  • Author

    Fattah, Shaikh Anowarul ; Ullah, M.M.I. ; Ahmed, Mariwan ; Ahmmed, I. ; Shahnaz, Celia

  • Author_Institution
    Dept. of EEE, BUET, Dhaka, Bangladesh
  • fYear
    2014
  • fDate
    3-6 Aug. 2014
  • Firstpage
    801
  • Lastpage
    804
  • Abstract
    In this paper, a copy-move image forgery detection scheme is developed based on a block matching algorithm. Instead of considering spatial blocks, 2D-DWT is performed on the forged image and then DWT domain blocks are considered, where only approximate DWT coefficients are utilized. In order to reduce the computational burden, unlike conventional approaches, instead of performing block matching operation among all blocks, some candidate blocks are first selected from the non-overlapping blocks based on a similarity measure. In the next stage, all overlapping blocks are compared with the candidate blocks. A similarity criterion is introduced to finally detect the forged blocks. Extensive simulation is carried out on several forged images and it is found that proposed algorithm can efficiently detect copy-move forgery.
  • Keywords
    discrete wavelet transforms; image forensics; image matching; 2D-DWT; DWT coefficients; DWT domain blocks; block matching algorithm; candidate blocks; copy-move image forgery detection scheme; discrete wavelet transform; overlapping blocks; similarity criterion; similarity measure; Correlation coefficient; Digital images; Discrete wavelet transforms; Feature extraction; Forgery; Copy-Move; Discrete Wavelet Transform; False Detection Rate; Hit Rate; Image Forgery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (MWSCAS), 2014 IEEE 57th International Midwest Symposium on
  • Conference_Location
    College Station, TX
  • ISSN
    1548-3746
  • Print_ISBN
    978-1-4799-4134-6
  • Type

    conf

  • DOI
    10.1109/MWSCAS.2014.6908536
  • Filename
    6908536