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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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// process chunks
官方通报烤全羊「36 斤变 6.9 斤」调查结果：商家退一赔三
Linux kernel maintainers propose a less painful process for identifying developers. See how it can make Linux code safer than ever.