Name
Abstract | ||
|---|---|---|
When image authenticity verification has to be carried out without any knowledge about the possible processing undergone by the image under analysis, it is fundamental to rely on a multi-clue approach, that merges the information stemming from several complementary forensic tools. This paper introduces a fully automatic framework for fusing the maps created by a set of unsupervised forgery localization algorithms, indicating possible manipulated areas. The framework takes into account the forgery maps, their reliability and the compatibility among the different traces considered by the tools. The achieved localization map is then refined by exploiting image content, thus improving the performance of the proposed system with respect to state of the art approaches. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/ICMEW.2015.7169770 | 2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW) |
Keywords | Field | DocType |
Image Forensics,Forgery Localization,Decision Fusion,Background Information | Computer vision,Algorithm design,Decision fusion,Pattern recognition,Computer science,Transform coding,Image content,Image coding,Fusion,Image forensics,Artificial intelligence | Conference |
ISSN | Citations | PageRank |
2330-7927 | 7 | 0.41 |
References | Authors | |
13 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pasquale Ferrara | 1 | 105 | 5.15 |
| Marco Fontani | 2 | 198 | 14.07 |
| Tiziano Bianchi | 3 | 1003 | 62.55 |
| De Rosa, A. | 4 | 7 | 0.75 |
| Alessandro Piva | 5 | 2231 | 157.21 |
| M. Barni | 6 | 3091 | 246.21 |