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This approach shares a lot in common with the idea of multivariate interpolation over scattered data. Multivariate interpolation attempts to estimate values at unknown points within an existing data set and is often used in fields such as geostatistics or for geophysical analysis like elevation modelling. We can think of our colour palette as the set of variables we want to interpolate from, and our input colour as the unknown we’re trying to estimate. We can borrow some ideas from multivariate interpolation to develop more effective dithering algorithms.
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"There are lots of different entrances but it seems everyone with a standing ticket is directed to the same one rather than spreading the crowds out," Adam said.。业内人士推荐搜狗输入法2026作为进阶阅读
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