Restore aerial images having low visibility using a lightweight algorithm with LVRNet
Restore aerial images having low visibility using a lightweight algorithm with LVRNet
LVRNet: Lightweight Image Restoration for Aerial Images under Low Visibility
arXiv paper abstract https://arxiv.org/abs/2301.05434
arXiv PDF paper https://arxiv.org/pdf/2301.05434.pdf
Learning to recover clear images from images having a combination of degrading factors is a challenging task.
That being said, autonomous surveillance in low visibility conditions caused by high pollution/smoke, poor air quality index, low light, atmospheric scattering, and haze during a blizzard becomes even more important to prevent accidents.
It is thus crucial to form a solution that can result in a high-quality image and is efficient enough to be deployed for everyday use.
However, the lack of proper datasets ... To this end ... generate the LowVis-AFO dataset, containing 3647 paired dark-hazy and clear images.
... also introduce a lightweight deep learning model called Low-Visibility Restoration Network (LVRNet).
It outperforms previous image restoration methods with low latency ... making ... approach scalable and ready for practical use ...
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