UM‐GAN: Underground mine GAN for underground mine low‐light image enhancement
Abstract In recent years, low‐light image enhancement has become increasingly active. However, in underground mine environments, acquiring high‐quality images is still challenging due to low light, low contrast, and occlusion. To address this problem, this study proposes a low‐light image enhancemen...
| Published in: | IET Image Processing |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-06-01
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| Subjects: | |
| Online Access: | https://doi.org/10.1049/ipr2.13092 |
