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Instead of perturbing each pixel in the input image at random, we can choose to dither by a predetermined amount depending on the pixel’s position in the image. This can be achieved using a threshold map; a small, fixed-size matrix where each entry tells us the amount by which to perturb the input value , producing the dithered value . This matrix is tiled across the input image and sampled for every pixel during the dithering process. The following describes a dithering function for a 4×4 matrix given the pixel raster coordinates :,更多细节参见金山文档
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关注数据中心与人工智能领域者不难发现,非可再生能源项目近期备受青睐。去年美国天然气发电项目数量增长近两倍,使该国在天然气项目总数上超越中国,同时煤电也呈现复苏态势。这两类增长很大程度上源于人工智能数据中心的建设需求,以及美国政府优先发展人工智能而非可持续性的政策导向。