MSNet: A novel end‐to‐end single image dehazing network with multiple inter‐scale dense skip‐connections
Abstract Dehazing is a challenging ill‐posed image restoration task. Various prior‐based and learning‐based methods have been proposed. Among them, end‐to‐end deep models achieve great success on performance improvement. However, most of them are concentrated on feature learning within the same bloc...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | IET Image Processing |
| Online Access: | https://doi.org/10.1049/ipr2.12013 |