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.
@inproceedings{Kirchner:2007aa,
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},
}