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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，详情可参考heLLoword翻译官方下载
The Seven Proven Tactics That Actually Work。关于这个话题，Line官方版本下载提供了深入分析
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return chunks.map(chunk = {