Name
Abstract | ||
|---|---|---|
Haze often limits visibility and reduces contrast in outdoor images. The degradation varies spatially since it depends on the objects' distances from the camera. This dependency is expressed in the transmission coefficients, which control the attenuation. Restoring the scene radiance from a single image is a highly ill-posed problem, and thus requires using an image prior. Contrary to methods that... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TPAMI.2018.2882478 | IEEE Transactions on Pattern Analysis and Machine Intelligence |
Keywords | Field | DocType |
Image color analysis,Atmospheric modeling,Cameras,Clustering algorithms,Estimation,Channel estimation,Image restoration | Computer vision,Visibility,Pattern recognition,Computer science,Image plane,Distance transform,RGB color model,Pixel,Artificial intelligence,Prior probability,Radiance,Haze | Journal |
Volume | Issue | ISSN |
42 | 3 | 0162-8828 |
Citations | PageRank | References |
8 | 0.48 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dana Berman | 1 | 50 | 1.81 |
| Tali Treibitz | 2 | 178 | 13.09 |
| Shai Avidan | 3 | 3291 | 208.12 |