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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。谷歌浏览器【最新下载地址】对此有专业解读
APPSO 在昨天的文章里也有提到：Anthropic「蒸馏」了人类最大的知识库
Publication date: 10 March 2026
以及：Anthropic「蒸馏」了人类最大的知识库