Light Field Super-resolution via Attention-Guided Fusion of Hybrid Lenses-Reference-Cited by-同舟云学术

Light Field Super-resolution via Attention-Guided Fusion of Hybrid Lenses

Published:2020-10-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM International Conference on Multimedia
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Author:

Jin Jing¹,Hou Junhui¹,Chen Jie²,Kwong Sam³,Yu Jingyi⁴

Affiliation:

1. City University of Hong Kong, Hong Kong, Hong Kong

2. Hong Kong Baptist University, Hong Kong, Hong Kong

3. City Univeristy of Hong Kong, Hong Kong, Hong Kong

4. Shanghai Tech University, Shanghai, China

Funder

Research Grants Council, University Grants Committee

Basic Research General Program of Shenzhen Municipality

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3394171.3413585

Reference46 articles.

1. [n.d.]. Stanford Lytro Light Field Archive. http://lightfields.stanford.edu/LF2016.html. [Online]. [n.d.]. Stanford Lytro Light Field Archive. http://lightfields.stanford.edu/LF2016.html. [Online].

2. Improving resolution and depth-of-field of light field cameras using a hybrid imaging system

3. Super-resolution through neighbor embedding

4. Light Field Denoising via Anisotropic Parallax Analysis in a CNN Framework

5. Image Super-Resolution Using Deep Convolutional Networks

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