Name
Abstract | ||
|---|---|---|
Single image dehazing, which aims to recover the clear image solely from an input hazy or foggy image, is a challenging ill-posed problem. Analyzing existing approaches, the common key step is to estimate the haze density of each pixel. To this end, various approaches often heuristically designed haze-relevant features. Several recent works also automatically learn the features via directly exploi... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TMM.2017.2771472 | IEEE Transactions on Multimedia |
Keywords | Field | DocType |
Neural networks,Atmosphere,Predictive models,Image color analysis,Meteorology,Feature extraction | Computer vision,Heuristic,Pattern recognition,Ranking,Computer science,Convolutional neural network,Feature extraction,Pixel,Artificial intelligence,Artificial neural network,Random forest,Haze | Journal |
Volume | Issue | ISSN |
20 | 6 | 1520-9210 |
Citations | PageRank | References |
3 | 0.37 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yafei Song | 1 | 36 | 5.63 |
| Jia Li | 2 | 524 | 42.09 |
| Xiaogang Wang | 3 | 9647 | 386.70 |
| Xiaowu Chen | 4 | 605 | 45.05 |