Forensic identification of resampling operators: A semi non-intrusive approach.

摘要: Recently, several new resampling operators have been proposed and successfully invalidate the existing detectors. However, reliability of such anti-forensic techniques is unaware needs to be investigated. In this paper, we focus on forensic identification digital image including traditional type which hides trace resampling. Various algorithms involving geometric distortion (GD)-based, dual-path-based postprocessing-based are The achieved in manner semi non-intrusive, supposing software could accessed. Given an input pattern monotone signal, polarity aberration GD-based resampled signal's first derivative analyzed theoretically measured by effective feature metric. Dual-path-based can also identified feeding proper test patterns. Experimental results various parameter settings demonstrate effectiveness approach.