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.
After your base implementation is complete, you MUST:
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每一类客人进来，她都能看透对方的真面目。夜场25年，她的眼睛比谁都准，尤其在男人这件事上。有人瞒着家人偷偷赌钱，也有人做生意亏本了，当然以前是“100个男人进来只有两个不开心”。后来，经济不好了，“不开心”的男人越来越多。