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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:，推荐阅读雷电模拟器官方版本下载获取更多信息
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Note that IDW often includes a variable exponent that is applied to the distance before taking the inverse. For a given distance , the weight of the candidate becomes:
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