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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与“买一个品牌”不同，这种方式更像是在现有能力边界上做延伸，风险更可控，但回报节奏也相对较慢。。业内人士推荐heLLoword翻译官方下载作为进阶阅读
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