I've been part of the OSS community for 20+ years, consistently reflecting
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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:。服务器推荐对此有专业解读
'description': 'The color name',。关于这个话题，Line官方版本下载提供了深入分析
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