LFR-Net: Local feature residual network for single image dehazing
Previous learning-based methods only employ clear images to train the dehazing network, but some useful information such as hazy images, media transmission maps and atmospheric light values in datasets were ignored. Here, we propose a local feature residual network (LFR-Net) for single image dehazin...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2023-03-01
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Series: | Array |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2590005623000036 |