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by david-gpu
604 days ago
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Probably because of how bloody large they are. The quantization errors likely cancel each other out over the sum of so many terms. Same reason why you can get a pretty good reconstruction when you add random noise to an image and then apply a binary threshold function to it. The more pixels there are, the more recognizable will be the B&W reconstruction. |
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