• DocumentCode
    681435
  • Title

    Source identification of camera phones using SVD

  • Author

    Soobhany, Ahmad Ryad ; Lam, K.P. ; Fletcher, Peter ; Collins, David

  • Author_Institution
    Res. Inst. for the Environ., Keele Univ., Keele, UK
  • fYear
    2013
  • fDate
    15-18 Sept. 2013
  • Firstpage
    4497
  • Lastpage
    4501
  • Abstract
    We present a novel method to extract the sensor pattern noise (SPN) of digital images and associate them with their respective source camera phones. The method first estimates the photo response non-uniformity (PRNU) of each image by means of its energy level and then converts it to an additive noise to facilitate extraction using Singular Value Decomposition (SVD). The latter is a spectral decomposition technique that separates the PRNU from the signal subspace. The camera reference signatures of the individual cameras are computed from a sample of their respective images and compared with a mixture of image signatures from a set of known camera devices. Our studies show that it is possible to determine the source device of digital images from camera phones using such method of signature extraction, with encouraging results.
  • Keywords
    cameras; digital forensics; feature extraction; mobile handsets; singular value decomposition; PRNU; SPN extraction; SVD; additive noise; camera phones source identification; camera reference signatures; energy level; image signatures; photo response nonuniformity estimation; sensor pattern noise extraction; signal subspace; signature extraction method; singular value decomposition; spectral decomposition technique; Digital Image Forensics; PRNU; Sensor pattern noise; Singular Value Decomposition; Source Identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2013 20th IEEE International Conference on
  • Conference_Location
    Melbourne, VIC
  • Type

    conf

  • DOI
    10.1109/ICIP.2013.6738926
  • Filename
    6738926