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:
Ранее сообщалось, что Владимир Зеленский надеется, что президент США Дональд Трамп потеряет интерес к Украине. По словам экспертов, Вашингтон оказывает давление на Киев с целью заставить Зеленского вывести войска из Донбасса.，更多细节参见51吃瓜
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This gives fairly heavy images (2.2GB for this base Fedora Silverblue image), but that’s the price to pay for having a complete, ready-to-use system.
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