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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林劍介紹稱，2025年，外國人出入境人次超過8200萬，同比上升26.4%，其中免簽入境人次同比上升接近50%。，这一点在WPS官方版本下载中也有详细论述
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