Hey everyone,
Researchers from the Jalali Lab at UCLA are looking to contribute some new computer vision algorithms to scikit-image! We’ve developed these as part of our PhyCV project (GitHub - JalaliLabUCLA/phycv: PhyCV: The First Physics-inspired Computer Vision Library) and we think they could really benefit the community.
Here’s the lowdown:
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VLight: This algorithm offers significantly faster low-light image enhancement with better performance than what’s out there already. Check out our paper for the details: Real-time low-light video enhancement on smartphones | Journal of Real-Time Image Processing
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PhyTex: A robust and accurate approach to edge detection that outperforms traditional techniques. It builds on our Phase-Stretch Transform (PST) from our PhyCV work.
Both VLight and PhyTex are fully open-source and patent-free. We’ve got them implemented in Python, ready to go for scikit-image.
We believe these algorithms would be awesome additions to the library, providing users with cutting-edge tools for image processing and analysis. We’re more than happy to work with the scikit-image team to ensure smooth integration and documentation.
Let us know what you think!
Best,
Wesley Gunawan Jalali Lab @ UCLA