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.
这种策略的变化，在零售空间中已经变得十分直观。。wps是该领域的重要参考
，详情可参考谷歌
For multiple readers。关于这个话题，WhatsApp Web 網頁版登入提供了深入分析
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Фото: Владимир Астапкович / РИА Новости