Visible to the public Countering anti-forensics of median filtering

TitleCountering anti-forensics of median filtering
Publication TypeConference Paper
Year of Publication2014
AuthorsHui Zeng, Tengfei Qin, Xiangui Kang, Li Liu
Conference NameAcoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Date PublishedMay
Keywordsanti-forensic, antiforensic method, antiforensics countering, Detectors, digital images, Discrete Fourier transforms, Filtering, Forensics, Image coding, Image forensics, image pixel difference distribution restoration, image restoration, median filtering, median filtering traces, median filters, Noise, pixel difference, Radiation detectors, statistical analysis, statistical fingerprints

The statistical fingerprints left by median filtering can be a valuable clue for image forensics. However, these fingerprints may be maliciously erased by a forger. Recently, a tricky anti-forensic method has been proposed to remove median filtering traces by restoring images' pixel difference distribution. In this paper, we analyze the traces of this anti-forensic technique and propose a novel counter method. The experimental results show that our method could reveal this anti-forensics effectively at low computation load. According to our best knowledge, it's the first work on countering anti-forensics of median filtering.

Citation Key6854091