• DocumentCode
    2324721
  • Title

    Spectral methods to determine the exact scaling factor of resampled digital images

  • Author

    Pfennig, Stefan ; Kirchner, Matthias

  • Author_Institution
    Fac. of Comput. Sci., Tech. Univ. Dresden, Dresden, Germany
  • fYear
    2012
  • fDate
    2-4 May 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper combines analytical models of periodic interpolation artifacts with recent empirical findings on the spectral energy distribution of rescaled images to infer exact transformation parameters in a passive-blind forensic setting. We present a measure to solve a long-known ambiguity between upscaling and downscaling in the forensic analysis of resampled signals and thus substantially limit the range of candidate scaling factors. The effectiveness of our method is backed with empirical evidence on a large set of images and scaling factors.
  • Keywords
    forensic science; image sampling; interpolation; forensic analysis; passive-blind forensic setting; periodic interpolation; resampled digital images; rescaled images; scaling factor; spectral energy distribution; Accuracy; Forensics; Frequency domain analysis; Image coding; Interpolation; Support vector machines; Transform coding; digital image forensics; resampling detection; scaling factor; transformation parameter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications Control and Signal Processing (ISCCSP), 2012 5th International Symposium on
  • Conference_Location
    Rome
  • Print_ISBN
    978-1-4673-0274-6
  • Type

    conf

  • DOI
    10.1109/ISCCSP.2012.6217855
  • Filename
    6217855