• DocumentCode
    2999131
  • Title

    Detection of copy-move forgery using wavelet decomposition

  • Author

    Kashyap, Arti ; Joshi, S.D.

  • Author_Institution
    Dept. of Electron. & Commun. Eng., Jaypee Inst. of Inf. Technol., Noida, India
  • fYear
    2013
  • fDate
    12-14 Dec. 2013
  • Firstpage
    396
  • Lastpage
    400
  • Abstract
    Nowadays, it is possible to copy and paste important information from one image to other or within the same image, without leaving any clues of tampering. Hence, the authenticity of digital images can no longer be taken for granted. There is a requirement for the implementation of new powerful and efficient algorithms for forgery detection of a tampered images. In this paper, we have proposed a new computationally efficient algorithm for copy-move forgery detection of an image using wavelet decomposition method. The proposed method achieves an accuracy of 86.67 % within a small processing time.
  • Keywords
    copy protection; image recognition; wavelet transforms; copy move forgery detection; digital image authenticity; tampered image; wavelet decomposition; Algorithm design and analysis; Computational efficiency; Digital images; Educational institutions; Forgery; Medical services; Transform coding; Blur moment; JPEG; PCA; PSF;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communication (ICSC), 2013 International Conference on
  • Conference_Location
    Noida
  • Print_ISBN
    978-1-4799-1605-4
  • Type

    conf

  • DOI
    10.1109/ICSPCom.2013.6719820
  • Filename
    6719820