The chained transform result is particularly striking: pull-through semantics eliminate the intermediate buffering that plagues Web streams pipelines. Instead of each TransformStream eagerly filling its internal buffers, data flows on-demand from consumer to source.
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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 :
My intuition would have made sense if the luminance array followed the “bit order” of base64 (i.e., A is the darkest ASCII pixel, B is the next darkest, etc). But of course that’s not true! The values are quite decorrelated, since the luminance of a character has nothing to do with its location in the alphabet.2
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