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:
于是，零跑 A10 登场了。这款小型 SUV，从立项之初就被赋予了极重的战略任务。它不能只是一款及格的代步车，而是必须要成为零跑销量的基石。
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它们就像是 iPhone 伸出来的三根触角，疯狂地从物理世界汲取信息。
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“Not every store will disappear, but there will be a dramatic shift,” Tim Steiner said at the height of the Covid pandemic, when shopping from the sofa became the only option for many.
Read full article，这一点在91视频中也有详细论述