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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,Line官方版本下载提供了深入分析
排版极其讲究的双页黑白日式漫画,也是手拿把掐。,更多细节参见旺商聊官方下载
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