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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But after posting a recent video, called "Avoid this place in London", he was accused of using AI to doctor the thumbnail to bolster his portrayal of the UK capital as one of "the most messed up cities" he has ever been to.