Name
Title | ||
|---|---|---|
Light Field Spatial Super-Resolution Using Deep Efficient Spatial-Angular Separable Convolution. |
Abstract | ||
|---|---|---|
Light field (LF) photography is an emerging paradigm for capturing more immersive representations of the real world. However, arising from the inherent tradeoff between the angular and spatial dimensions, the spatial resolution of LF images captured by commercial micro-lens-based LF cameras is significantly constrained. In this paper, we propose effective and efficient end-to-end convolutional neu... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TIP.2018.2885236 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Spatial resolution,Convolution,Synthetic aperture sonar,Cameras,Computational modeling,Feature extraction | Pattern recognition,Convolutional neural network,Convolution,Source code,Feature extraction,Light field,Artificial intelligence,Pixel,Image resolution,Mathematics,Speedup | Journal |
Volume | Issue | ISSN |
28 | 5 | 1057-7149 |
Citations | PageRank | References |
12 | 0.53 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Henry Wing Fung Yeung | 1 | 24 | 3.01 |
| Junhui Hou | 2 | 395 | 49.84 |
| Xiaoming Chen | 3 | 50 | 4.50 |
| Jie Chen | 4 | 130 | 17.02 |
| Zhibo Chen | 5 | 270 | 44.69 |
| Yuk Ying Chung | 6 | 211 | 25.47 |