But do you really want to write all that additional code? It seems
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heLLoword翻译官方下载获取更多信息
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The converter supports all model types via the --model flag:
$18/month with Xfinity StreamSaver，推荐阅读爱思助手下载最新版本获取更多信息