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Implement the package with the specific functional requirements and design goals; afterwards, create benchmarks with specific matrix sizes that are representative of typical use cases。关于这个话题，旺商聊官方下载提供了深入分析
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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.