MCIDN: Deblurring Network for Metal Corrosion Images

MCIDN: Deblurring Network for Metal Corrosion Images

The analysis of corrosion images is crucial in materials science, where acquiring clear images is fundamental for subsequent analysis. The goal of deblurring metal corrosion images is to reconstruct clear images from degraded ones. To the best of our knowledge, this study introduces the first paired...

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Bibliographic Details
Main Authors: Jiaxiang Wang, Meng Wan, Pufen Zhang, Sijie Chang, Hao Du, Peng Shi, Hongying Yu, Dongbai Sun, Jue Wang, Yangang Wang
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Applied Sciences
Subjects:
metal corrosion
image deblurring
dual-domain learning
deep learning
Online Access:https://www.mdpi.com/2076-3417/14/24/11565
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https://www.mdpi.com/2076-3417/14/24/11565

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