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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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大公司“精打细算”

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Balanced against that, finding cancers early and treating them can save lives. But it's difficult for doctors to work out which cancers are going to be aggressive and spread, which means men can be treated unnecessarily.

Jim Lovell

Фото: Екатерина Чеснокова / РИА Новости