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:
第六十三条 有下列行为之一的，处十日以上十五日以下拘留，可以并处五千元以下罚款；情节较轻的，处五日以上十日以下拘留，可以并处三千元以下罚款：，更多细节参见搜狗输入法2026
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