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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Compared to the third-gen Polaroid Now Plus, my former retro pick, the Flip delivers clearer shots with fewer wasted photos, making the extra $50 worthwhile given that eight I-Type sheets are a spendy $18.99. The increased clarity can be attributed to several factors, including the Flip’s sonar autofocus and a four-lens hyperfocal system — which result in sharper, more focused images — along with its excellent flash. It’s the most powerful of any Polaroid camera, and while it can sometimes overexpose images, you can adjust exposure directly from the camera or app. The Scene Analysis feature also helps by warning if a shot is likely to be over- or underexposed, or if you’re too close to your subject. In my experience, the warnings didn’t always prevent overexposure, but they did leave me with shots that looked less blown than those from the Now Plus.
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