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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And we hine seeketh yet, beyen ætsomne, wer and wife, through the darkan streeta thisses grimman stedes. Hwæthere God us yefultumige!
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Altman 把人类成长比作「训练」,听起来像把人当机器。这让很多人不爽,觉得贬低了人类的价值——生命不是数据输入输出啊!
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