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:
We’ve also fixed an issue where apps where launched twice or could even possibly crash when pressing enter while searching the Applications menu.
。关于这个话题，夫子提供了深入分析
Decreasing bandwidth usage with GZIP compression
提升全要素生产率 释放经济增长新潜力