RQ-Wu/RIDCP_dehazing
[CVPR 2023] | RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priors
This project helps improve the clarity and detail of photos and videos taken in hazy or foggy conditions. You input an image or video obscured by haze, and it produces a visually enhanced version with significantly reduced atmospheric interference. Anyone working with outdoor photography, surveillance, drone footage, or remote sensing imagery can use this to get clearer visuals.
269 stars. No commits in the last 6 months.
Use this if you need to automatically remove haze from images or video footage to reveal underlying details and improve visual quality for analysis or presentation.
Not ideal if you're looking for a simple, out-of-the-box software application with a graphical user interface, as this requires some technical setup.
Stars
269
Forks
30
Language
Python
License
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Category
Last pushed
Jun 02, 2023
Commits (30d)
0
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