jinyeying/FogRemoval
[ACCV22] Structure Representation Network and Uncertainty Feedback Learning for Dense Non-Uniform Fog Removal, https://arxiv.org/abs/2210.03061
This tool helps professionals in fields like transportation, surveillance, and photography improve the clarity of images captured in foggy conditions. You input an image that is obscured by dense or uneven fog, and it outputs a significantly clearer version of that image, making details more visible. It's designed for anyone who needs to extract precise visual information from real-world photos or video frames taken in challenging weather.
165 stars. No commits in the last 6 months.
Use this if you need to automatically enhance images or video footage where details are lost due to heavy, non-uniform fog or haze.
Not ideal if your primary goal is to remove light mist, rain, or other types of atmospheric interference that are not dense fog.
Stars
165
Forks
10
Language
Python
License
—
Category
Last pushed
Aug 01, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/jinyeying/FogRemoval"
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