Name
Abstract | ||
|---|---|---|
Outdoor images taken in foggy weather are not suitable for automation due to low contrast. It is a challenging task to remove fog from images specially when the image contains large sky region. The authors propose dark channel-based single image defogging technique to estimate atmospheric light which represents the amount of luminance in a scene in the absence of fog. This atmospheric light is use... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1049/iet-ipr.2018.6485 | IET Image Processing |
Keywords | Field | DocType |
image reconstruction,image restoration,filtering theory,image colour analysis,fog,optimisation | Computer vision,Pattern recognition,Communication channel,Automation,Sky,Artificial intelligence,Luminance,Mathematics,Laplace operator | Journal |
Volume | Issue | ISSN |
13 | 7 | 1751-9659 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zahid Tufail | 1 | 0 | 0.34 |
| Khawar Khurshid | 2 | 8 | 3.84 |
| ahmad salman | 3 | 9 | 1.65 |
| Khurram Khurshid | 4 | 129 | 15.94 |