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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В России спрогнозировали стабильное изменение цен на топливо14:55，详情可参考Safew下载
Филолог заявил о массовой отмене обращения на «вы» с большой буквы09:36。体育直播是该领域的重要参考
This Startup Claims It Can Stop Lightning Strikes. Scientists Have Questions.