tnwei/waternet
Modern replication of WaterNet from "An Underwater Image Enhancement Benchmark Dataset and Beyond", IEEE TIP 2019
This project helps marine biologists, underwater photographers, or videographers enhance the clarity and color of underwater images and videos. It takes murky, distorted underwater footage as input and produces clearer, more vibrant visuals, making it easier to analyze marine life or improve visual storytelling.
No commits in the last 6 months.
Use this if you need to quickly improve the visual quality of underwater photos or videos for analysis, presentations, or sharing.
Not ideal if you require a highly customized image processing pipeline or need to perform real-time enhancement on live video feeds with very strict latency requirements.
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67
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Language
Jupyter Notebook
License
MIT
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Last pushed
Jun 16, 2024
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