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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:
。夫子对此有专业解读
…and has images like these:。关于这个话题，heLLoword翻译官方下载提供了深入分析
作为有着「移动大沙发」美誉的车型，第 15 代轩逸在空间与舒适性上也有改善。
Another interesting feature of the 3624 was a receipt printer—I'm not sure if it