JunlinHan/CWR
Code and dataset for Single Underwater Image Restoration by Contrastive Learning, IGARSS 2021, oral.
This project helps marine scientists, environmental researchers, or anyone working with underwater imagery to automatically improve the clarity and color of their underwater photos. You input blurry, color-shifted underwater images, and it outputs restored versions that look significantly clearer and more vibrant. This is ideal for researchers analyzing marine life or mapping underwater environments.
No commits in the last 6 months.
Use this if you need to enhance the visual quality of single underwater images for research, analysis, or presentation, especially if you have a dataset of low-quality underwater photos.
Not ideal if you are looking for a real-time underwater video enhancement solution or if your primary goal is to correct geometric distortions rather than visual clarity.
Stars
90
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15
Language
Python
License
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Category
Last pushed
Oct 13, 2022
Commits (30d)
0
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