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.
Hurdle: Everything you need to know to find the answers
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A rise in long-term sickness, mental illness and neurodivergence in young people has been one of the main causes of economic inactivity over the past three years, according to research by the Youth Futures Foundation.
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