With the aim of evaluating image forensics tools, we propose a methodology to create forgeries traces, leaving intact the semantics of the image. Thus, the only forgery cues left are the specific alterations of one or several aspects of the image formation pipeline. This methodology creates automatically forged images that are challenging to detect for forensic tools and overcomes the problem of creating convincing semantic forgeries. Based on this methodology, we create the Trace database and conduct an evaluation of the main state-of-the-art image forensics tools.
@article{arxiv.2105.02700,
title = {Non-Semantic Evaluation of Image Forensics Tools: Methodology and Database},
author = {Quentin Bammey and Tina Nikoukhah and Marina Gardella and Rafael Grompone and Miguel Colom and Jean-Michel Morel},
journal= {arXiv preprint arXiv:2105.02700},
year = {2021}
}