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:
Раскрыты подробности о договорных матчах в российском футболе18:01
，更多细节参见WPS下载最新地址
李 “나와 애들 추억묻은 애착인형 같은 집…돈 때문에 판 것 아냐”
而今年1月最新发布的Kimi K2.5模型，则成为月之暗面近期收入暴涨的导火索。