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The "Reducing Mosaic" version is part of a growing trend where AI models, such as those found in tools like DeepMosaics or TensorPix , are used to "fill in" missing visual data. While not a true "uncensoring" (which would require the original raw footage), these tools use machine learning to "guess" the underlying textures, resulting in a significantly more detailed image than the original censored broadcast. While not a true "uncensoring" (which would require
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Despite significant progress, reducing mosaic in images remains a challenging task, particularly in scenarios with limited input data or under severe noise corruption. Future research directions include developing more efficient and robust algorithms that can handle a wide range of image types and conditions. Additionally, there is growing interest in real-time super-resolution techniques that can be applied on edge devices, such as smartphones and drones, without requiring substantial computational resources.