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.
Pete Hegseth has threatened to cancel $200m contract unless it is given unfettered access to Claude model
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Александра Статных (Редактор отдела «Путешествия»)，更多细节参见im钱包官方下载
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