Name
Abstract | ||
|---|---|---|
In this paper, we propose a resampling detection method for stereoscopic images. Although previous resampling techniques can be applied to stereoscopic images, performance improvement is hard to be expected with the two separated results. In this research, we found a strong relationship between the left and right images derived from the characteristics of the stereoscopic images. The proposed technique exploits that relationship of the stereoscopic images as additional information for reliable detection performance. Furthermore, the proposed method includes a preprocessing step to acquire the independent performance from the image’s own characteristics. The experimental results exhibit superior performance compared with the existing works. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1186/s13640-017-0170-9 | EURASIP J. Image and Video Processing |
Keywords | Field | DocType |
Multimedia forensic, Resampling detection, Stereoscopic images, Visual fatigue | Computer vision,Pattern recognition,Stereoscopy,Computer science,Preprocessor,Digital image correlation,Artificial intelligence,Biometrics,Resampling,Performance improvement | Journal |
Volume | Issue | ISSN |
2017 | 1 | 1687-5281 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hak-Yeol Choi | 1 | 0 | 0.68 |
| Dai-Kyung Hyun | 2 | 6 | 2.58 |
| Sunghee Choi | 3 | 671 | 40.52 |
| Heung-kyu Lee | 4 | 1016 | 87.53 |