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.
昨天，美图正式发布 Meitu CLI 工具，并将旗下 AI 影像能力以「美图 AI Skills」的形式接入 OpenClaw「龙虾」生态，通过 ClawHub 平台向全球用户开放。
，这一点在搜狗输入法AI时代中也有详细论述
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