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 :
第二百七十九条 被保险人未经保险人同意放弃向第三人要求赔偿的权利，或者因过错致使保险人不能行使追偿权利的，保险人可以相应扣减保险赔偿。
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I started thinking if we could use this approach in iHaskell (which currently writes code using the GHC API to evaluate Haskell snippets). Moving from the GHC API would be a massive change to the code base. So I got to work creating a prototype for what a notebook with a GHCi sub process would look like. That prototype is Sabela.