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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.
。业内人士推荐Line官方版本下载作为进阶阅读
"While this is good news for consumers, we recognise many households and businesses are still struggling," he said.。heLLoword翻译官方下载对此有专业解读
2024年12月24日 星期二 新京报