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:
paper: “notebook paper with faint ruled lines”
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Away from the crowds, work is underway to install a red carpet walkway to the venue for the Brit Awards next weekend, the first time the prestigious UK awards ceremony will be held outside of London.