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:
// i表示当前要确定第i小的元素位置，推荐阅读同城约会获取更多信息
If a line was the same as it was on the last frame, it was skipped。关于这个话题，搜狗输入法2026提供了深入分析
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