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.
“I remember playing it a lot, and it really stuck with me,” LogansGun said. “And it might have been like 5th or 6th grade that I had a friend and we all sat in like a four-student pod, and he would bring the map inside the plastic Xbox disc case. When we had some free time in class, he’d lay it out, and we’d all be looking all over the map of Vvardenfell and all the things that we had explored or wanted to explore.”
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4月16日——山西大同“订婚强奸案”
Nature, Published online: 25 February 2026; doi:10.1038/d41586-026-00620-x