Name
Abstract | ||
|---|---|---|
As the optical lenses for cameras always have limited depth of field, the captured images with the same scene are not all in focus. Multifocus image fusion is an efficient technology that can synthesize an all-in-focus image using several partially focused images. Previous methods have accomplished the fusion task in spatial or transform domains. However, fusion rules are always a problem in most ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1162/neco_a_01098 | Neural Computation |
Field | DocType | Volume |
Computer vision,Image fusion,Lens (optics),Artificial intelligence,Machine learning,Mathematics,Depth of field | Journal | 30 |
Issue | ISSN | Citations |
7 | 0899-7667 | 3 |
PageRank | References | Authors |
0.36 | 33 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaopeng Guo | 1 | 13 | 1.80 |
| Rencan Nie | 2 | 46 | 10.43 |
| Jinde Cao | 3 | 11399 | 733.03 |
| Dongming Zhou | 4 | 374 | 67.74 |
| Wenhua Qian | 5 | 3 | 1.04 |