Name
Abstract | ||
|---|---|---|
•A simulated exposure images mechanism generates more input data.•Four weighted maps increase the visualization of the degraded regions.•Color corrected of the simulated exposure images.•Gradient enhanced of the simulated exposure images. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.patrec.2018.10.008 | Pattern Recognition Letters |
Keywords | Field | DocType |
Visuality enhancement,Gradient enhancement,Image fusion,High dynamic range | Computer vision,Image gradient,Gamut,Pattern recognition,Fusion,Exploit,Color balance,Pixel,Artificial intelligence,Exposure fusion,Laplacian pyramid,Mathematics | Journal |
Volume | ISSN | Citations |
127 | 0167-8655 | 3 |
PageRank | References | Authors |
0.39 | 25 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yan, Q. | 1 | 70 | 7.01 |
| Yu Zhu | 2 | 88 | 12.65 |
| Yulin Zhou | 3 | 8 | 1.19 |
| Jinqiu Sun | 4 | 9 | 4.51 |
| Lei Zhang | 5 | 133 | 22.75 |
| Yanning Zhang | 6 | 1613 | 176.32 |