SRGAN based super-resolution reconstruction of power inspection images

Abstract Ensuring the operational safety of the electric power system critically depends on effective power inspections. However, traditional methods face challenges in detecting minor faults such as cracks and corrosion in electrical equipment. In this thesis, the Super Resolution Generative Advers...

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Bibliographic Details

Published in:	Discover Applied Sciences
Main Authors:	Jianjun Zhou, Jianbo Zhang, Jiangang Jia, Jie Liu
Format:	Article
Language:	English
Published:	Springer 2024-11-01
Subjects:	Super-resolution reconstruction Power inspections Generative adversarial networks BDZ dataset
Online Access:	https://doi.org/10.1007/s42452-024-06350-x