• DocumentCode
    3197415
  • Title

    Digital camera identification based on the clustered pattern noise of image sensors

  • Author

    Tomioka, Yoichi ; Kitazawa, Hitoshi

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Tokyo Univ. of Agric. & Technol., Tokyo, Japan
  • fYear
    2011
  • fDate
    11-15 July 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Along with the popularization of digital cameras, the reliable identification of digital image source is becoming increasingly important as an evidence in a court and some help of investigations. In this paper, we propose an enhanced digital camera identification method using the pixel non-uniformity (PNU) noise of image sensors. By clustering the PNU noises, the proposed method extracts the robust features of image sensors to the random noise, scene content, and image processing engine such as the noise reduction. In the experiments, the proposed method shows the high identification accuracy even for latest digital cameras.
  • Keywords
    cameras; feature extraction; image denoising; image sensors; pattern clustering; PNU noise; clustered pattern noise; digital camera identification enhancement; digital image source identification; feature extraction; image processing engine; image sensors; noise reduction; pixel nonuniformity noise; random noise; Accuracy; Correlation; Digital cameras; Image sensors; Noise; Sensors; camera identification; clustering; image processing engine; pixel non-uniformity noise; random noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo (ICME), 2011 IEEE International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1945-7871
  • Print_ISBN
    978-1-61284-348-3
  • Electronic_ISBN
    1945-7871
  • Type

    conf

  • DOI
    10.1109/ICME.2011.6012060
  • Filename
    6012060