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:
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But there’s also that annoying, gnawing truth: You don’t know what you don’t know. This has, for decades, been an apt adage for describing life in this experimental orbital colony. Eventually, though, different aphorisms will come into play. Yes, it’s true: You don’t know what you don’t know. But we do know that all good things come to an end. And that what goes up must come down.，更多细节参见91视频