Fujifilm’s $116.99 Instax Mini 41 is the long-awaited follow-up to the Mini 40. The updated model retains the retro design found on the prior model but introduces parallax correction, a feature borrowed from the Instax Mini 12 to help users avoid off-center shots when taking close-ups. It didn’t take long testing the Mini 41 for me to realize it’s simply the Mini 12 for adults. With its black-and-silver body and flatter, squarer edges, the Mini 41 looks sleeker and more stylish. The two cameras are nearly identical, aside from the design, with the same solid photo quality and feature set. Both battery-powered options turn on with a simple twist of the lens, and each comes equipped with a selfie mirror, a close-up mode, and a flash (which cannot be disabled).
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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