fansuregrin/RAUNE-Net
A Residual and Attention-Driven Underwater Image Enhancement (UIE) method.
This project helps improve the clarity and quality of underwater images that suffer from low contrast, blurriness, or color distortion. It takes degraded underwater photos as input and outputs visually enhanced images, making details more discernible and colors more natural. Marine biologists, oceanographers, underwater photographers, or anyone analyzing submerged visuals would find this beneficial for their research or documentation.
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Use this if you need to restore the visual quality of murky, discolored, or blurry underwater images for analysis, reporting, or artistic purposes.
Not ideal if you are working with non-image data or require real-time video enhancement, as this tool focuses on static image processing.
Stars
47
Forks
4
Language
Python
License
—
Category
Last pushed
Oct 17, 2024
Commits (30d)
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