3 ms·
it's gone in a single still frame but across many consecutive frames, the information is spread out temporaly and can be recovered (partially) the same princi
by memoriuaysj 9mo ago
it's gone in a single still frame
but across many consecutive frames, the information is spread out temporaly and can be recovered (partially)
the same principle of how you can get a high resolution image from a short video, by extracting the same patch from multiple frames
https://en.wikipedia.org/wiki/Video_super-resolution https://en.wikipedia.org/wiki/Video_super-resolution
- weinzierl 9mo agoThat looks interesting. Is there ready-made software that can do this? Doesn't have to be easy to use just useable with a time commitment of a few days.
- ErroneousBosh 9mo agoNo, it's not "restoring detail". The information is gone. It is predicting what the information might maybe have been like.
- memoriuaysj 9mo agoyou are arguing with math proofs here, the information is not gone, if it was a real video (as opposed to adversarily generated video)
- ErroneousBosh 9mo agoI'm struggling with the idea that you can use maths to recover information from a video that simply was not present in the video. I get that what you're describing can statisically "unblur" stuff you've blurred with overly-simplistic algorithms. I can provide you with real-world footage that has "natural" motion blur in it, if you can demonstrate this technique working? I'd really like to see how it's done.