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Another way to approach dithering is to analyse the input image in order to make informed decisions about how best to perturb pixel values prior to quantisation. Error-diffusion dithering does this by sequentially taking the quantisation error for the current pixel (the difference between the input value and the quantised value) and distributing it to surrounding pixels in variable proportions according to a diffusion kernel . The result is that input pixel values are perturbed just enough to compensate for the error introduced by previous pixels.

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But in a modern twist, before they have even walked into the first room of the city’s new Ukraine Museum inside the bunker, visitors are “targeted” by a Russian drone just before its operator prepares to release the lethal shot, and see themselves in the firing line on the screen of the weapon’s camera.

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