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.
为政一方，以“不要立志做大官，而要立志做大事”来勉励自己；夜读《人民呼唤焦裕禄》，深情写下：“为官一任，造福一方，遂了平生意。”
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A couple of days later, an itchy, spotty rash appears.
But look at what's happening now. Someone needs information, they open ChatGPT or Claude or Perplexity, they ask a question in natural language, they receive a comprehensive answer immediately with sources cited. No clicking through multiple websites. No comparing different perspectives. No scanning search results pages. The AI synthesizes information and delivers a direct answer, fundamentally changing the discovery process.