Name
Title | ||
|---|---|---|
Depth Super-Resolution From RGB-D Pairs With Transform and Spatial Domain Regularization. |
Abstract | ||
|---|---|---|
This paper proposes a depth super-resolution method with both transform and spatial domain regularization. In the transform domain regularization, nonlocal correlations are exploited via an auto-regressive model, where each patch is further sparsified with a locally-trained transform to consider intra-patch correlations. In the spatial domain regularization, we propose a multi-directional total va... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TIP.2018.2806089 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Transforms,Dictionaries,Correlation,Spatial resolution,Adaptation models,Image reconstruction | Computer vision,Pattern recognition,Regularization (mathematics),RGB color model,Artificial intelligence,Superresolution,Mathematics | Journal |
Volume | Issue | ISSN |
27 | 5 | 1057-7149 |
Citations | PageRank | References |
4 | 0.39 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhongyu Jiang | 1 | 6 | 2.12 |
| Yonghong Hou | 2 | 47 | 4.50 |
| Huanjing Yue | 3 | 24 | 6.89 |
| Jingyu Yang | 4 | 274 | 31.04 |
| Chunping Hou | 5 | 85 | 14.69 |