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.
An agarose gel. Credit: Kadina Almhjell，更多细节参见51吃瓜
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Liz Kendall to launch consultation next week that will also explore alternatives such as curbs on infinite scrolling