Name
Abstract | ||
|---|---|---|
•A novel large and realistic multi-focus dataset with ground truth is constructed.•The proposed dataset can serve as a test bench for multi-focus image fusion methods.•Benefit future development of deep-learning-based methods for multi-focus image fusion. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.patrec.2020.08.002 | Pattern Recognition Letters |
Keywords | DocType | Volume |
Image fusion,Multi-focus images,Multi-focus dataset,Deep learning | Journal | 138 |
ISSN | Citations | PageRank |
0167-8655 | 1 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juncheng Zhang | 1 | 1 | 1.02 |
| QM | 2 | 464 | 72.05 |
| Liu Shaojun | 3 | 9 | 1.46 |
| Haoyu Ma | 4 | 1 | 2.37 |
| Wenming Yang | 5 | 5 | 3.78 |
| Jing-Hao Xue | 6 | 393 | 46.48 |