Фото: ShamrockUA / wikipedia
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:，推荐阅读51吃瓜获取更多信息
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As it stands, inverse distance weighting is not very good at minimising this error. Another approach is needed if we want to improve the image quality.