Abstract: The idea of using traces of interpolation algorithms, deployed by a digital camera, as an identifier in the source camera-model identification problem has been initially studied in [2]. In this work, we improve our previous approach by incorporating methods to better detect the interpolation artifacts in smooth image parts. To identify the source camera- model of a digital image, new features that can detect traces of low-order interpolation are introduced and used in conjunction with a support vector machine based multi-class classifier. Performance results due to newly added features are obtained considering source identification among two and three digital cameras. Also, these results are combined with those of [2] to further improve our methodology.

  author       = {Sevin\c{c} Bayram and Husrev T. Sencar and Nasir D. Memon},
  url          = {http://isis.poly.edu/~forensics/pubs/ifipwg2006.pdf},
  journal      = {Proc. of the WG 11.9 Intl. Conf. on Digital Forensics},
  year         = {2006},
  title        = {Improvements on source camera-model identification based on {CFA} interpolation},