Name
Abstract | ||
|---|---|---|
Images degraded by light scattering and absorption, such as hazy, sandstorm, and underwater images, often suffer color distortion and low contrast because of light traveling through turbid media. In order to enhance and restore such images, we first estimate ambient light using the depth-dependent color change. Then, via calculating the difference between the observed intensity and the ambient lig... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TIP.2018.2813092 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Image color analysis,Image restoration,Estimation,Lighting,Channel estimation,Absorption,Cameras | Computer vision,Communication channel,Color correction,Image formation,Artificial intelligence,Image restoration,Distortion,Mathematics,Light scattering,Underwater | Journal |
Volume | Issue | ISSN |
27 | 6 | 1057-7149 |
Citations | PageRank | References |
23 | 0.86 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yan-Tsung Peng | 1 | 69 | 6.50 |
| Keming Cao | 2 | 26 | 1.61 |
| P. C. Cosman | 3 | 256 | 18.49 |