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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.
To achieve usable performance, every major runtime has resorted to non-standard internal optimizations for Web streams. Node.js, Deno, Bun, and Cloudflare Workers have all developed their own workarounds. This is particularly true for streams wired up to system-level I/O, where much of the machinery is non-observable and can be short-circuited.