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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You can also use an arbitrary block as a filter:
На помощь российским туристам на Ближнем Востоке ушли миллиарды рублей20:47
"We monitor the size, shape and growth of the [fire]," he adds, explaining that this helps to avoid false alarms triggered by pictures of fires, or fires on a TV screen, that happen to be in shot.