Abstract: Source camera identification is an important branch of image forensics. This paper describes a novel method for determining image origin based on color filter array (CFA) interpolation coefficient estimation. To reduce the perturbations introduced by a double JPEG compression, a covariance matrix is used to estimate the CFA interpolation coefficients. The classifier incorporates a combination of one-class and multi-class support vector machines to identify camera models as well as outliers that are not in the training set. Classification experiments demonstrate that the method is both accurate and robust for double-compressed JPEG images.

  publisher    = {Springer Boston},
  author       = {Bo Wang and Xiangwei Kong and Xingang You},
  url          = {http://www.springerlink.com/content/h04480125u505114/fulltext.pdf},
  series       = {IFIP Advances in Information and Communication Technology},
  pages        = {107--118},
  volume       = {306},
  year         = {2009},
  editor       = {G. Peterson and S. Shenoi},
  address      = {Orlando, FL, USA},
  title        = {Source camera identification using support vector machines},
  booktitle    = {Advances in Digital Forensics V},