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 Wang1389.09
Fei Liu2171.28
Kunbo Zhang3142.24
Guangqi Hou4303.27
Zhenan Sun52379139.49
Tieniu Tan611681744.35