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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:
在提及各類安置意見時，問卷已特別註明「有居民表示有心理陰影或擔心等候時間太長」。文件發出翌日，財政司副司長黃偉綸明言，政府目前想法是宏福苑日後不會興建住宅，改為社區設施較恰當，強調不會讓人以該土地圖利。