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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「即使各國決定進行談判,最終現任美國政府仍打算強制實施更高的關稅,不管那些被推翻的措施如何。」諮詢公司牛津經濟研究院(Oxford Economics)的亞當·薩姆丁(Adam Samdin)表示。