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 couple are part of a group, Truth for Our Babies, who are campaigning for an independent investigation into maternity services at the University Hospitals Sussex NHS Trust. Earlier this month, BBC News and the New Statesman found that at least 55 babies over a five-year period might have survived with better care.