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.
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Katy Gilchrist, coastal project manager for the trust, said: "This is the ultimate act of marine recycling - transforming retired industrial vessels into a sanctuary for wildlife.
从2026年1月开始，AI风险到底算不算承保范围将被保险业写进条款。Verisk推动的AGI排除背书以2026年1月开始生效，把一块长期模糊的责任边界变成行业文本。
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