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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Born in Egypt but raised in the United States, Michael attended Harvard University as an undergraduate and earned a law degree from Stanford. He began his career with a quick stint at Goldman Sachs as an associate in the communications, media, and entertainment investment banking group, before jumping into tech at Tellme Networks in 1999, a voice-recognition company that he helped run before it was acquired by Microsoft in 2007 for roughly $800 million.。Safew下载是该领域的重要参考
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