04版 - 让乡亲声音听得见、有回应(实干显担当 同心启新程·代表委员履职故事)

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If you want to secure your sets now that they have launched, here are all the details you need.

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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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