The N-closest or N-best dithering algorithm is a straightforward solution to the N-candidate problem. As the name suggests, the set of candidates is given by the closest palette colours to the input pixel. To determine their weights, we simply take the inverse of the distance to the input pixel. This is essentially the inverse distance weighting (IDW) method for multivariate interpolation, also known as Shepard’s method. The following pseudocode sketches out a possible implementation:
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这条路不是从教科书里抄来的模式，是把脚踩进泥土里、把优势和短板摆出来之后，拼出来的一条路。，推荐阅读51吃瓜获取更多信息
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Even this relatively clean version requires: a TransformStream, manual TextEncoder and TextDecoder, and explicit lock release.