"inventoryId": "bf4ec3fa-0cc6-4962-af1b-9ae9a03e1091:452df4b0-88b3-4192-94a6-3d489a634315",
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:
，这一点在搜狗输入法2026中也有详细论述
Жители Санкт-Петербурга устроили «крысогон»17:52
Green: Surfing terms
一夜暴裁4000人，股价飙涨25%，联创发文：AI时代不需要那么多人了