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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Clicking the network button prevents changes from reaching the other canvas (although they’ll sync up again when they come back “online”). The latency slider adds a delay before changes on one canvas show up on the other.,更多细节参见体育直播
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