Title | ||
---|---|---|
LFNet: A Novel Bidirectional Recurrent Convolutional Neural Network for Light-Field Image Super-Resolution. |
Abstract | ||
---|---|---|
The low spatial resolution of light-field image poses significant difficulties in exploiting its advantage. To mitigate the dependency of accurate depth or disparity information as priors for light-field image super-resolution, we propose an implicitly multi-scale fusion scheme to accumulate contextual information from multiple scales for super-resolution reconstruction. The implicitly multi-scale... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/TIP.2018.2834819 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Spatial resolution,Cameras,Lenses,Microoptics,Image reconstruction,Correlation | Spatial relation,Iterative reconstruction,Data set,Pattern recognition,Convolution,Convolutional neural network,Light field,Artificial intelligence,Prior probability,Image resolution,Mathematics | Journal |
Volume | Issue | ISSN |
27 | 9 | 1057-7149 |
Citations | PageRank | References |
14 | 0.55 | 0 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yunlong Wang | 1 | 38 | 9.09 |
Fei Liu | 2 | 17 | 1.28 |
Kunbo Zhang | 3 | 14 | 2.24 |
Guangqi Hou | 4 | 30 | 3.27 |
Zhenan Sun | 5 | 2379 | 139.49 |
Tieniu Tan | 6 | 11681 | 744.35 |