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 :
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do. (In fact, the new scheme at worst has to copy one more element
The fierce standoff over Claude isn’t just a contract fight. It’s about who controls the future of military AI. In Washington and Silicon Valley, a conflict once relegated to specialist policy briefings has burst into view as arms-length diplomacy between the U.S. Department of Defense and Anthropic, the San Francisco-based AI lab, approaches a critical […]
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