文献
J-GLOBAL ID:201802226664998022
整理番号:18A1043295
LFNet:光場画像超解像のための新しい双方向再帰畳込みニューラルネットワーク【JST・京大機械翻訳】
LFNet: A Novel Bidirectional Recurrent Convolutional Neural Network for Light-Field Image Super-Resolution
著者 (6件):
Wang Yunlong
(University of Science and Technology of China, Hefei, China)
,
Liu Fei
(National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, China)
,
Zhang Kunbo
(National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, China)
,
Hou Guangqi
(National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, China)
,
Sun Zhenan
(National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, China)
,
Tan Tieniu
(National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, China)
資料名:
IEEE Transactions on Image Processing
(IEEE Transactions on Image Processing)
巻:
27
号:
9
ページ:
4274-4286
発行年:
2018年
JST資料番号:
W0364A
ISSN:
1057-7149
CODEN:
IIPRE4
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)