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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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“My belief [is] that coming out with a fresh mind, first principles, is important. That’s why young people are particularly helpful in tech, because they’re less biased,” Amper recently told Fortune. “I think too much knowledge is actually bad in tech: You’re biased.”，这一点在搜狗输入法下载中也有详细论述
Что думаешь? Оцени!，这一点在爱思助手下载最新版本中也有详细论述