Chad Whitacre Head of Open Source, Sentry
def __init__(self, config: Config = None):
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This time, before we perturb the input image, we take the value given by the threshold matrix and divide it by , where is the number of levels for each colour component. As a result, each pixel is perturbed just enough to cover the minimal distance between two colours in the palette. Since the entire palette is evenly distributed across colour space, we only need to modify the range of perturbation along each axis. The dithering equation then becomes:
Shortcut Pre-calculation: For the most commonly used speed profiles, the travel costs (time/distance) for shortcuts between border points within each cluster are pre-calculated and stored. (Each border point effectively has an "entry" and "exit" aspect for directed travel).
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但倫敦大學學院（UCL）社會科學榮休教授大衛·沃斯（David Voas）認為，YouGov的數字不具代表性。他說，如果安靜復興真的存在，「那我們應該能看到字面上數百萬名新的教堂信徒——他們得非常安靜、甚至隱形，才可能不被我們注意到。」
Knowing this, we can modify the N-Convex algorithm covered earlier such that the candidate weights are given by the barycentric coordinates of the input pixel after being projected onto a triangle whose vertices are given by three surrounding colours, abandoning the IDW method altogether1. This results in a fast and exact minimisation of , with the final dither being closer in quality to that of Knoll’s Algorithm.，推荐阅读搜狗输入法2026获取更多信息