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:
在选择配置时，享受驾驶乐趣的父亲选择了不带智驾的版本，但就是这样一台非智驾的车型，也在今年春节，让我们感受到了自动驾驶的飞速进展。
，这一点在同城约会中也有详细论述
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