Computational Integral Imaging Reconstruction Based on Generative Adversarial Network Super-Resolution

Computational Integral Imaging Reconstruction Based on Generative Adversarial Network Super-Resolution

To improve acquisition efficiency and achieve super high-resolution reconstruction, a computational integral imaging reconstruction (CIIR) method based on the generative adversarial network (GAN) network is proposed. Firstly, a sparse camera array is used to generate an elemental image array of the...

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Bibliographic Details
Main Authors: Wei Wu, Shigang Wang, Wanzhong Chen, Zexin Qi, Yan Zhao, Cheng Zhong, Yuxin Chen
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Applied Sciences
Subjects:
computational integral imaging reconstruction
deep learning
super-resolution
Online Access:https://www.mdpi.com/2076-3417/14/2/656

Internet

https://www.mdpi.com/2076-3417/14/2/656

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