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:
Growth means new customers; profitability means strong margins at the studio level; efficiency means staying ahead of technology and operational changes, including AI and evolving print equipment. Brewster discloses that every SpeedPro studio is profitable, which he calls “very unique for a franchise.” At the top quartile, owners’ discretionary profit sits at about 26% of sales, with an average of $445,000.
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No Backspace, no keyboard navigation, none of that. That can come later.