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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When you’re trying to make the highest quality videos, though, you’ll want to choose a mirrorless camera with a decent lens. With the larger sensor, you’ll be able to create nice blurred bokeh backgrounds to separate your subject from the foreground. Lenses are usually sharper as well, and you’ll be able to expand your collection over time for even more versatility.
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