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.
Follow BBC West on Facebook, X, and Instagram. Send your story ideas via WhatsApp on 0800 313 4630.
，推荐阅读WPS下载最新地址获取更多信息
Opens in a new window
4. 现场电工王养红，证件过期且因年龄问题无复审资格，违规从事现场电工作业。（违反《房屋市政工程生产安全重大事故隐患判定标准（2024版）》第四条第三款，属于重大事故隐患。）