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:
在山西运城市平陆三湾大天鹅景区栖息的白天鹅。
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。关于这个话题，WPS下载最新地址提供了深入分析
* @param arr 待排序数组，详情可参考im钱包官方下载
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