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There are a lot of amazing things you can do when you have extra constraints for the blurred information, like which font was used for a blurred text or knowing
by _Microft 5y ago
There are a lot of amazing things you can do when you have extra constraints for the blurred information, like which font was used for a blurred text or knowing that it was a valid barcode that got blurred. In general "enhancing" images just does not work though. It will fake it in a way that looks believable to us but it cannot recover information that is not even there.
- occamrazor 5y agoBut sometimes there is enough information, just in a format that isn’t easily useable. For example a low-res video of a car driving away: each frane is too blurry to recover the plate number, but all frames together have enough information. I would expect DL models to perform wel on this task, but I could not find many results.
- _Microft 5y agoYou are correct, of course. In that case, the information is actually there albeit spread out temporally over several frames. I should have said that I was talking about single photographs.
- mdp2021 5y agoDo you know about that technology that works like a "spying microphone", reconstructing the environmental sound in a (ordinary quality, ordinary rate) video through the minuscule vibrations in the objects computed from the frames? Found: https://news.mit.edu/2014/algorithm-recovers-speech-from-vibrations-0804 https://news.mit.edu/2014/algorithm-recovers-speech-from-vib... > ... they were able to recover intelligible speech from the vibrations of a potato-chip bag photographed from 15 feet away through soundproof glass I see that (as expected) it has been discussed on HN: https://news.ycombinator.com/item?id=8131785 https://news.ycombinator.com/item?id=8131785