Abstract: In this work, we focus our interest on blind source camera identification problem by extending our results in the direction of [1]. The interpolation in the color surface of an image due to the use of a color filter array (CFA) forms the basis of the paper. We propose to identify the source camera of an image based on traces of the proprietary interpolation algorithm deployed by a digital camera. For this purpose, a set of image characteristics are defined and then used in conjunction with a support vector machine based multi-class classifier to determine the originating digital camera. We also provide initial results on identifying source among two and three digital cameras.

  author       = {Sevin\c{c} Bayram and Husrev T. Sencar and Nasir D. Memon and İsmail Avcıbaş},
  url          = {http://isis.poly.edu/~forensics/pubs/icip2005.pdf},
  journal      = {Image Processing, 2005. ICIP 2005. IEEE International Conference on},
  volume       = {3},
  year         = {2005},
  title        = {Source camera identification based on {CFA} interpolation},