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.
Due to this more measured approach, error-diffusion dithering is even better at preserving details and can produce a more organic looking final image. However, the algorithm itself is inherently serial and not easily parallelised. Additionally, the propagation of error can cause small discrepancies in one part of the image to cascade into other distant areas. This is very obvious during animation, where pixels will appear to jitter between frames. It also makes files harder to compress.
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