Name
Abstract | ||
|---|---|---|
Image super-resolution (SR) has been an active research problem which has recently received renewed interest due to the introduction of new technologies such as deep learning. However, the lack of suitable criteria to evaluate the SR performance has hindered technology development. In this paper, we fill a gap in the literature by providing the first publicly available database as well as a new im... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TIP.2019.2898638 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Visualization,Indexes,Distortion,Spatial resolution,Kernel | Quality Score,Pattern recognition,Image texture,Pooling,Image quality,Mean opinion score,Artificial intelligence,Deep learning,Image structure,Mathematics,Database,Jaggies | Journal |
Volume | Issue | ISSN |
28 | 7 | 1057-7149 |
Citations | PageRank | References |
3 | 0.36 | 36 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhou | 1 | 78 | 11.31 |
| Rongguo Yao | 2 | 3 | 0.36 |
| Bozhi Liu | 3 | 19 | 9.43 |
| Guoping Qiu | 4 | 1306 | 117.19 |