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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:
My favorite thing about the Arctis Nova 3 is their fit: They are the most comfortable of any gaming headset I've tested. They're super lightweight, which makes them great for long gaming sessions and larger heads like mine, and the ear cups are a light, squishy mesh that's breathable without sacrificing too much in sound isolation. Despite the super lightweight build, the battery life doesn't disappoint, with these cans lasting around 30 hours on a single charge.