High End Color Quantizer
This is a personal project I've been working on for a long time now. I stumbled upon the color quantization problem while doing something related for work. I then found an interesting paper for which I could find no implementations online, and the thing went from "let's implement this paper" to getting pretty obsessed with the whole thing. It's at an early, eaaaarly stage. There's a lot of work to be done, and it's a memory hog, but generally speaking works quite well, and the output is for the most part very high quality, so I'm happy to share it as beta.
High End Color Quantizer launched on June 10, 2025 with 123 votes, #344 of 7,999 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
High End Color Quantizer is a tool that reduces the number of colors in images while maintaining visual quality. It is designed for developers and designers working with color reduction problems. The tool implements research from an academic paper with no prior public implementation, and while still in early beta and memory-intensive, it produces high-quality output results.
written from the facts on this page · September 2026
From the sources
off the charts color quantization 🎨. Contribute to big-nacho/patolette development by creating an account on GitHub.
patolette is a C / Python color quantization and dithering library. At its core, it implements a weighted variant of Xiaolin Wu's PCA-based quantizer (not to be confused with the popular one from Graphics Gems vol. II , which is already available here ). The library is still in need of a ton of improvements and most definitely not ready for production use, but it's already very useable. A PyPI package is not yet available. Until then, installation is manual but it should hopefully be painless 🤞 If you do face any obstacles building / installing, please submit an issue! 🙏 patolette ships a slightly modified version of faiss to aid with an optional KMeans refinement step. You can use the…from github.com
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