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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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We see a divide in society between people who want AI to do impressive things with their photos and videos, and those who don't want AI to do anything with photos and videos because it's eroding our ability to believe that what we have seen is real, destroying the concept of photographic evidence.。业内人士推荐旺商聊官方下载作为进阶阅读
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