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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The weight of each term is given by the proportion of each sub-triangle area with respect to the total triangle area . Algebraically, this can be expressed like so:。关于这个话题,搜狗输入法2026提供了深入分析