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.
Let me introduce you to what I call the PCM boundary. PCM (Pulse-Code Modulation) is the raw, uncompressed digital audio format that eventually gets sent to your speakers. It’s the terminal endpoint of every audio pipeline, regardless of how aggressively encrypted the source was.
。搜狗输入法下载是该领域的重要参考
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