Acceptable use policy
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.
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Photograph: Simon Hill
«Это будет непросто. Надо много-много стараться, чтобы это произошло, но, я уверен, что это произойдет. Как быстро, не знаю», — поделился депутат.
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At this point we can start to render some phrases into modern English directly.