"I'm just obsessed with trivia. I used to want to be a chaser on The Chase."
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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:
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As for Oxford's impact on young Ted Geisel, Jones says: "The experience shaped him, and I really do think it informed the way he adopted that nickname."