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.
The Artemis IV and V missions in 2028 will use whichever landers are deemed ready for service. If only one company's lander is available, that lander would be used for both missions, an official said. If both are available, one would be used for one flight and one for the other.
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