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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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2026-02-27 00:00:00:0外交部党委 ——深入学习《习近平外交思想学习纲要（2025年版）》
那个童年的小巷，时间越久越像一个仿佛并不存在的乌托邦。如视频里所说：“你醒啦，你做了一场很长的梦。”