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.
"We have to let them participate in that. But I do think that access to children should be conditional, and it should be conditional on respecting their rights, on keeping them safe, on actually not addicting them and not extracting economic value out of their behaviour."
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