An Image Dehazing Algorithm for Underground Coal Mines Based on gUNet

Aiming at the problems of incomplete dehazing, color distortion, and loss of detail and edge information encountered by existing algorithms when processing images of underground coal mines, an image dehazing algorithm for underground coal mines, named CAB CA DSConv Fusion gUNet (CCDF-gUNet), is prop...

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Bibliographic Details
Published in:Sensors
Main Authors: Feng Tian, Lishuo Gao, Jing Zhang
Format: Article
Language:English
Published: MDPI AG 2024-05-01
Subjects:
underground coal mines
image dehazing
U-Net
DSConv
residual attention convolution
CA
Online Access:https://www.mdpi.com/1424-8220/24/11/3422

Internet

https://www.mdpi.com/1424-8220/24/11/3422

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