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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，这一点在51吃瓜中也有详细论述
目前，阿宗正準備申請來台灣讀大學。在台期間，伯宗學會了中文，也存下一些積蓄。他說，讀大學是自己的夢想。「我們來台灣，有人幸運，有人不幸運。我可能還算是幸運的吧？」。WPS下载最新地址对此有专业解读
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