zhouh115/DWT-FFC
Official PyTorch implementation of dehazing method based on FFC and ConvNeXt, 1st place solution of NTIRE 2023 HR NonHomogeneous Dehazing Challenge (CVPR Workshop 2023).
This tool helps improve the clarity of images taken in hazy or foggy conditions, especially when the haze isn't uniform across the scene. You input a hazy image, and it outputs a clearer, dehazed version. This is useful for anyone working with outdoor photography, surveillance, remote sensing, or autonomous vehicle perception where atmospheric conditions obscure important visual details.
Use this if you need to automatically enhance images affected by non-uniform haze for tasks like analysis, visualization, or as a preprocessing step for other computer vision applications.
Not ideal if you're looking for a user-friendly application with a graphical interface or if your primary need is for dehazing videos rather than still images.
Stars
50
Forks
5
Language
Python
License
MIT
Category
Last pushed
Oct 27, 2025
Commits (30d)
0
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