A survey for light field super-resolution

A survey for light field super-resolution

Compared to 2D imaging data, the 4D light field (LF) data retains richer scene’s structure information, which can significantly improve the computer’s perception capability, including depth estimation, semantic segmentation, and LF rendering. However, there is a contradiction between spatial and ang...

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Bibliographic Details
Main Authors: Mingyuan Zhao, Hao Sheng, Da Yang, Sizhe Wang, Ruixuan Cong, Zhenglong Cui, Rongshan Chen, Tun Wang, Shuai Wang, Yang Huang, Jiahao Shen
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:High-Confidence Computing
Subjects:
Light field super-resolution
Convolutional neural network
Transformer
Sub-aperture image
Epipolar-plane image
Online Access:http://www.sciencedirect.com/science/article/pii/S2667295224000096

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