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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When TCL showed off its RayNeo Air 4 Pro smart glasses at CES 2026, I was impressed, and I wrote at the time that competitors like Xreal should be worried. Despite the relatively affordable price tag, the glasses have super-bright OLED displays that support HDR10, something never seen before in smart glasses. TCL describes them as "head-mounted TVs," and that's what they feel like.
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