Name
Title | ||
|---|---|---|
Defocus map estimation from a single image using improved likelihood feature and edge-based basis. |
Abstract | ||
|---|---|---|
•Edge-based and region-based methods are combined via RTF with linear basis.•Orthogonal gradients with Gabor filter subsets can obtain more accurate likelihood.•First K highest local maximums are effective to serve as the input feature of RTF.•Proposed method outperforms state-of-the-art DME methods.•Proposed method is readily applied to image deblurring and defocus blur detection. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.patcog.2020.107485 | Pattern Recognition |
Keywords | DocType | Volume |
Defocus map estimation,Regression tree fields,Localized 2D frequency analysis | Journal | 107 |
Issue | ISSN | Citations |
1 | 0031-3203 | 2 |
PageRank | References | Authors |
0.37 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Liu Shaojun | 1 | 9 | 1.46 |
| QM | 2 | 464 | 72.05 |
| Jing-Hao Xue | 3 | 393 | 46.48 |
| Zhou | 4 | 78 | 11.31 |