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.
Punctuations: This feature flags all incorrect and missing punctuation.
。同城约会是该领域的重要参考
# 600M multilingual TDT model
auto features = parakeet::preprocess_audio(wav.samples);
，详情可参考下载安装 谷歌浏览器 开启极速安全的 上网之旅。
© 2014-2026 上海东方报业有限公司，这一点在im钱包官方下载中也有详细论述
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