Per-script thresholds would dramatically reduce false positive rates. Treating Mathematical Alphanumeric Symbols with the same urgency as Cyrillic makes no sense when the data shows a 0.145 gap in mean SSIM between them.
Warning: The Gen 10 Pokémon starters will give you major cute aggression
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Медведев вышел в финал турнира в Дубае17:59
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.