Name
Abstract | ||
|---|---|---|
This papers introduces a new single image dehazing approach. The method employs a fusion-based strategy that takes as inputs two adapted versions of the original image that are weighted by specific maps in order to yield accurate haze-free results. The method computes in a per-pixel fashion being straightforward to be implemented. Our effective method demonstrates to yield comparative and even better results than the more complex state-of-the-art techniques but has the advantage to be appropriate for real-time applications. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICIP.2010.5651263 | 2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING |
Keywords | Field | DocType |
helium,real time applications,fusion,pixel,image fusion,image restoration,real time systems,remote sensing | Computer vision,Image fusion,Pattern recognition,Computer science,Effective method,Fusion,Pixel,Artificial intelligence,Image restoration | Conference |
ISSN | Citations | PageRank |
1522-4880 | 21 | 1.21 |
References | Authors | |
6 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Codruta Orniana Ancuti | 1 | 304 | 20.86 |
| Cosmin Ancuti | 2 | 314 | 22.39 |
| Philippe Bekaert | 3 | 758 | 67.00 |