Name
Abstract | ||
|---|---|---|
•We propose a unified framework for better explanation of several existing priors.•Under the unified framework, we derive a confidence prior that uses a ratio to freely adjust the removal degree of outliers or noises.•To solve heterogeneity of image signals and abrupt depth jumps in hazy images, we use a learning method to adaptively estimate a confidence ratio for each pixel. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.patcog.2021.108076 | Pattern Recognition |
Keywords | DocType | Volume |
Regression,Classification,Image dehazing,Confidence prior,Appearance feature | Journal | 119 |
Issue | ISSN | Citations |
1 | 0031-3203 | 1 |
PageRank | References | Authors |
0.36 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Feiniu Yuan | 1 | 180 | 18.37 |
| Yu Zhou | 2 | 378 | 66.97 |
| Xue Xia | 3 | 46 | 5.19 |
| Xueming Qian | 4 | 1052 | 70.70 |
| J. Huang | 5 | 44 | 12.63 |