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.
Bridgerton fans, smash that "watch credits" button at the end of Season 4.
{ 32, 40, 54, 38, 31, 21, 19, 29 } };，更多细节参见heLLoword翻译官方下载
Why SSIM, not learned embeddings
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