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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:
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但更深层的逻辑在于，他押注的或许并不仅是制造端升级，而是中国消费结构的再升级，押注一批中产家庭开始把“海上休闲”纳入生活方式版图。一旦生活方式被激活，产业才有规模；一旦规模形成，制造端的优势自然水到渠成。