Abstract: This paper introduces novel hiding techniques to counter the detection of image manipulations through forensic analyses. The presented techniques allow to resize and rotate (parts of) bitmap images without leaving a periodic pattern in the local linear predictor coefficients, which has been exploited by prior art to detect traces of manipulation. A quantitative evaluation on a batch of test images proves the proposed method’s efficacy, while controlling for key parameters and for the retained image quality compared to conventional linear interpolation.

  publisher    = {Springer Verlag},
  urltype      = {Subscription},
  author       = {Matthias Kirchner and Rainer B\"{o}hme},
  url          = {http://www.springerlink.com/content/b5075786qun45376/},
  series       = {Lecture Notes in Computer Science},
  booktitle    = {Information Hiding, 9th International Workshop, IH 2007, Saint Malo, France, June 11-13, 2007, Revised Selected Papers},
  volume       = {LNCS 4567},
  year         = {2007},
  editor       = {T. Furon and F. Cayre and G. Do\"{e}rr and P. Bas},
  address      = {Berlin, Heidelberg},
  title        = {Tamper hiding: defeating image forensics},
  pages        = {326--341},