Positron Image Super-Resolution Using Generative Adversarial Networks

Positron Image Super-Resolution Using Generative Adversarial Networks

Positron images generated by positron non-destructive testing technology under rapid detection scenes such as low concentration dose, low exposure time and short imaging time, which have some problems like low-resolution and poor definition. These issues cannot be solved for the being time. To solve...

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Bibliographic Details
Main Authors: Fang Xiong, Jian Liu, Min Zhao, Min Yao, Ruipeng Guo
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Super-resolution reconstruction
deep learning
generative adversarial networks
positron image
Online Access:https://ieeexplore.ieee.org/document/9527232/

Internet

https://ieeexplore.ieee.org/document/9527232/

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