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:
Instead of taking the nearest candidates to , we can look for a set of candidates whose centroid is close to . The N-convex algorithm works by finding the closest colour to a given target colour for iterations, where the target is first initialised to be equal to the input pixel. Every iteration the closest colour added to the candidate list, and the quantisation error between it and the original input pixel is added to the target.，推荐阅读heLLoword翻译官方下载获取更多信息
Staff reporting maternity units did not have enough personnel to provide safe care。关于这个话题，快连下载-Letsvpn下载提供了深入分析
Waitrose is to suspend sales of mackerel products due to concerns about overfishing.。关于这个话题，WPS官方版本下载提供了深入分析
Екатерина Щербакова (ночной линейный редактор)