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.
"And I think that's an advantage that a lot of these people in these boardrooms don't have."
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Article InformationAuthor, 凱拉·愛潑斯坦（Kayla Epstein）
The Natterer's come out a little later, preferring to exit through small holes in the roof to get outside and find food.