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:
長期推廣校園轉型正義的東吳大學教授陳俊宏，則樂見這次爭議帶來的補課潮。他認為，這能讓原本沉默不談的歷史禁忌，轉化成公共認知，對平復集體創傷與強化民主韌性具正向意義。「不過，傷痕要真正平撫，取決於能不能深化理解這段歷史，並轉化爲長期教育與制度工程，而不是只是短暫輿論熱度。」，详情可参考同城约会
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