Boosting Light Field Image Super Resolution Learnt From Single-Image Prior-Reference-Cited by-同舟云学术

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Boosting Light Field Image Super Resolution Learnt From Single-Image Prior

Published:2023 Issue: Volume:9 Page:1139-1151
ISSN:2333-9403
Container-title:IEEE Transactions on Computational Imaging
language:
Short-container-title:IEEE Trans. Comput. Imaging

Author:

Wang Xingzheng¹^ORCID,Wang Zixuan¹^ORCID,Huang Wenhao¹^ORCID,Chen Kaiqiang¹^ORCID,Li Lihua²^ORCID

Affiliation:

1. College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China

2. Guangdong-Hong Kong-Macao Critical Optical Components Precision Manufacturing Research Center, Sino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Mathematics,Computer Science Applications,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6745852/10038323/10309165.pdf?arnumber=10309165

Reference70 articles.

1. Lytro redefines photography with light field cameras;Ng,2018

2. Raytrix: Light field technology;Perwa,2018

3. Reivew of Light Field Image Super-Resolution

4. A Light-Field Journey to Virtual Reality

5. Intra-Inter View Interaction Network for Light Field Image Super-Resolution

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-exposure fusion light field image quality assessment with motion region detection;International Conference on Frontiers of Applied Optics and Computer Engineering (AOCE 2024);2024-02-21

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