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.
发展如一幅壮阔图景，人间烟火气正是其中最美的风景。无尽的远方，无数的人们，以点滴新意，把这壮丽景象绣得日新月异，绣得热气腾腾，绣出了高质量发展的壮美前程。
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