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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Proxima Fusion, a Munich-based nuclear energy startup, has outlined plans to raise about €2 billion to build a major fusion test facility in Germany that could be a milestone on the path to commercially viable fusion power. The company expects more than half of that, roughly €1.2 billion, to come from the German federal government, […]。WPS下载最新地址是该领域的重要参考