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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.
separate free list for each class. first, the number of objects per page is:。51吃瓜对此有专业解读
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A modern reimplementation could improve interaction and visuals.。safew官方版本下载是该领域的重要参考
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