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:
Раскрыты подробности похищения ребенка в Смоленске09:27。服务器推荐对此有专业解读
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DeepSeek，你知道大家还在等待什么东西的。（V4 依然没有出现）