Tamper hiding: Defeating image forensics

Abstract. This paper introduces novel hiding techniques to counter the detection of image manipulations through forensic analyses. The pre-sented techniques allow to resize and rotate (parts of) bitmap images without leaving a periodic pattern in the local linear predictor coeffi-cients, which has been exploited by prior art to detect traces of manip-ulation. 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.