This time, before we perturb the input image, we take the value given by the threshold matrix and divide it by , where is the number of levels for each colour component. As a result, each pixel is perturbed just enough to cover the minimal distance between two colours in the palette. Since the entire palette is evenly distributed across colour space, we only need to modify the range of perturbation along each axis. The dithering equation then becomes:
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Future smoke alarms might use very different tech. Researchers have developed an AI-based system that uses machine learning to detect fire in video feeds. The tool can spot fire and smoke in footage from "any camera", says Prabodh Panindre at New York University – including CCTV, doorbell cameras and phone cameras.
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