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.
Uniform regions (solid backgrounds, smooth gradients) get stored as large blocks. Detailed regions (edges, textures) get subdivided into smaller blocks. You end up with a compressed representation that preserves detail where it exists and simplifies where it can.
对待过去，新官要理旧账；面向未来，甘于“栽树”“铺路”；着眼全局，树牢“一盘棋”意识……每个人都要跑好属于自己的“这一棒”，“当好中国式现代化建设的坚定行动派、实干家”。，更多细节参见爱思助手下载最新版本
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- Allow the user to specify the color of the icon and the color of the background (both hex and RGB)
OsmAnd Web Preview: View Route，更多细节参见safew官方版本下载