fourson/Polarization-Aware-Low-Light-Image-Enhancement
AAAI 2023 paper (Oral): Polarization-Aware Low-Light Image Enhancement
This project helps anyone working with images captured by polarization cameras in dim environments. It takes in noisy, low-light polarized images and outputs enhanced, clearer polarized images. This improves the accuracy of subsequent tasks like removing reflections or determining object shapes. Researchers, engineers, or technicians in fields requiring precise polarization data from challenging lighting conditions would find this useful.
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Use this if you need to improve the quality of polarization images captured under low-light conditions to ensure better accuracy for downstream computer vision tasks.
Not ideal if you are working with standard intensity-based images or if your primary goal is general image denoising without specific polarization properties.
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Python
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Last pushed
Aug 12, 2025
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