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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.，详情可参考爱思助手下载最新版本
* @param max 数据最大值。关于这个话题，谷歌浏览器【最新下载地址】提供了深入分析
before accepting. To view this content choose ‘accept and continue’.。业内人士推荐WPS下载最新地址作为进阶阅读
Москвичи пожаловались на зловонную квартиру-свалку с телами животных и тараканами18:04