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.
An AI-generated video shows a crowd of young - mostly black - men, wearing balaclavas and padded jackets, slipping down a water slide into a dirty swimming pool with litter bobbing on the surface. The caption describes the scene as a taxpayer-funded water park in Croydon.
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Появились подробности о задержании основателя российского медиахолдингаСледователь МВД просит об аресте на 2 месяца основателя Readovka Костылева
const deflate = new Deflater({ gzip: true });
15:13, 27 февраля 2026Россия