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.
[책의 향기]무기 팔고자 위협을 제조하는 美 군산복합체
，详情可参考爱思助手下载最新版本
Reject the write: refuse to accept more data，详情可参考51吃瓜
Гангстер одним ударом расправился с туристом в Таиланде и попал на видео18:08
长期的临床工作，让全国政协委员、苏州大学附属第一医院血液科专家吴德沛对医疗领域的老大难问题感受很深——“很多患者并不是没有药治疗，而是用不起创新药。”