Name
Abstract | ||
|---|---|---|
To create convincing forged images, manipulated images or parts of them are usually exposed to some geometric operations which require a resampling step. Therefore, detecting traces of resampling became an important approach in the field of image forensics. In this paper, we revisit existing techniques for resampling detection and design some targeted attacks in order to assess their reliability. We show that the combination of multiple resampling and hybrid median filtering works well for hiding traces of resampling. Moreover, we propose an improved technique for detecting resampling using image forensic tools. Experimental evaluations show that the proposed technique is good for resampling detection and more robust against some targeted attacks. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-32805-3_1 | Communications and Multimedia Security |
Keywords | Field | DocType |
geometric operation,digital image,experimental evaluation,proposed technique,multiple resampling,image forensics,image forensic tool,robust resampling detection,resampling step,targeted attack,resampling detection,improved technique | Digital image forensics,Data mining,Median filter,Pattern recognition,Computer science,Real-time computing,Digital image,Image forensics,Artificial intelligence,Resampling | Conference |
Citations | PageRank | References |
4 | 0.48 | 10 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hieu Cuong Nguyen | 1 | 13 | 3.55 |
| Stefan Katzenbeisser | 2 | 1844 | 143.68 |