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Instead of taking the nearest candidates to , we can look for a set of candidates whose centroid is close to . The N-convex algorithm works by finding the closest colour to a given target colour for iterations, where the target is first initialised to be equal to the input pixel. Every iteration the closest colour added to the candidate list, and the quantisation error between it and the original input pixel is added to the target.

Publication date: 10 March 2026

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Bootc: Linux in Container Mode#Yes, because if I have to go through Fedora’s standard workflow with kickstarts to install my machines, it doesn’t get me much further than before. This is where Bootc comes in.

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