Name
Title | ||
|---|---|---|
Inference of a compact representation of sensor fingerprint for source camera identification. |
Abstract | ||
|---|---|---|
•An effective framework for de-noising and compressing sensor pattern noise (a form of device fingerprint) is proposed.•A compact and discriminative representation can be obtained directly from a high-dimensional SPN.•A novel training set construction method is designed to minimize the impact of various interfering artifacts in training samples.•The proposed methods can be used as a post-processing framework applied after any SPN extraction methods for effective source camera identification. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.patcog.2017.09.027 | Pattern Recognition |
Keywords | Field | DocType |
Image forensics,Source camera identification (SCI),Sensor pattern noise (SPN),PCA de-noising | Pattern recognition,Camera identification,Inference,Computer science,Discriminant,Curse of dimensionality,Fingerprint,Artificial intelligence,Linear discriminant analysis,Image database,Principal component analysis,Machine learning | Journal |
Volume | Issue | ISSN |
74 | C | 0031-3203 |
Citations | PageRank | References |
6 | 0.44 | 26 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ruizhe Li | 1 | 20 | 1.74 |
| Chang-Tsun Li | 2 | 24 | 5.11 |
| Yu Guan | 3 | 195 | 22.59 |