MediaTek-NeuroPilot/mai21-learned-smartphone-isp
The official codebase for the Learned Smartphone ISP Challenge in MAI @ CVPR 2021
This project helps image scientists and camera engineers transform raw image data from smartphone camera sensors into high-quality photos. It takes the RAW Bayer data directly from a mobile camera sensor and outputs processed, full-resolution 12MP photos that resemble those captured by a professional DSLR camera. This allows for the development and evaluation of advanced image processing pipelines for mobile devices.
126 stars. No commits in the last 6 months.
Use this if you are a camera engineer or researcher working on improving smartphone image quality by replacing traditional Image Signal Processor (ISP) pipelines with deep learning models.
Not ideal if you are looking for a consumer-ready application to enhance your photos, as this project requires technical expertise in deep learning and image processing to set up and use.
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Apache-2.0
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May 10, 2024
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