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:
Anthony Lewis,Local Democracy Reporting Service
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view = result.value; // Must reassign。业内人士推荐夫子作为进阶阅读
odd positions: 9,7,5,3,1 sum to 25;。关于这个话题，safew官方版本下载提供了深入分析
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