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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The tranche of Jeffrey Epstein emails and files released on January 30th tie the infamous pedophile, sex trafficker, and influence peddler to elite figures across the tech industry. The world of cryptocurrency is no exception. Epstein's connections are intriguing, disturbing - and worth mapping closely.