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!
“某某高管天团亲自带队,手把手跑通生意。”