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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:。关于这个话题，一键获取谷歌浏览器下载提供了深入分析
Фото: Максим Блинов / РИА Новости。搜狗输入法2026是该领域的重要参考
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