Countering anti-forensics of median filtering
| Title | Countering anti-forensics of median filtering |
| Publication Type | Conference Paper |
| Year of Publication | 2014 |
| Authors | Hui Zeng, Tengfei Qin, Xiangui Kang, Li Liu |
| Conference Name | Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on |
| Date Published | May |
| Keywords | anti-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 |
| Abstract | 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. |
| DOI | 10.1109/ICASSP.2014.6854091 |
| Citation Key | 6854091 |
- image pixel difference distribution restoration
- statistical fingerprints
- statistical analysis
- Radiation detectors
- pixel difference
- Noise
- median filters
- median filtering traces
- median filtering
- image restoration
- anti-forensic
- Image forensics
- Image coding
- Forensics
- Filtering
- Discrete Fourier transforms
- digital images
- Detectors
- antiforensics countering
- antiforensic method