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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After Netflix's initial offer, Paramount Skydance swooped in with a hostile takeover attempt of the entire Warner Bros. Discovery business. WBD rejected it, Paramount tried again. Several additional volleys between the involved parties occurred over the past few weeks. While WBD has not yet formally accepted Paramount's offer — which will be subject to long-winded regulatory approvals sure to spark more drama — it seems the dust will soon settle for this chapter.
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