• DocumentCode
    2201844
  • Title

    Source Camera Identification by JPEG Compression Statistics for Image Forensics

  • Author

    Choi, Kai San ; Lam, Edmund Y. ; Wong, Kenneth K Y

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Hong Kong Univ.
  • fYear
    2006
  • fDate
    14-17 Nov. 2006
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Source camera identification is the process of discerning which camera has been used to capture a particular image. One approach to this problem is to identify the differences in standard processes among digital cameras. JPEG compression is one of the standard processes in most consumer-level cameras. It is a standard compression algorithm, however the size and quality tradeoff is at the manufacturers and the users´ discretion. In this paper, we focus on identifying some features that can differentiate the characteristic quality and size tradeoff among different camera models. Simulation is carried out to evaluate the success rate of our method. The results show that our proposed features can provide useful information to classify images originating from a number of cameras
  • Keywords
    CCD image sensors; data compression; image classification; image coding; JPEG compression statistics; digital cameras; image classification; image forensics; source camera identification; standard process; Charge coupled devices; Compression algorithms; Digital cameras; Digital images; Forensics; Image coding; Image quality; Lenses; Statistics; Transform coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2006. 2006 IEEE Region 10 Conference
  • Conference_Location
    Hong Kong
  • Print_ISBN
    1-4244-0548-3
  • Electronic_ISBN
    1-4244-0549-1
  • Type

    conf

  • DOI
    10.1109/TENCON.2006.343943
  • Filename
    4142289