[ErroneousBosh]

It really is gone. You can predict what you think it might have been, but you can't know what it was.

[memoriuaysj]

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

[ErroneousBosh]

No, it's not "restoring detail". The information is gone.

It is predicting what the information might maybe have been like.

[memoriuaysj]

you are arguing with math proofs here, the information is not gone, if it was a real video (as opposed to adversarily generated video)

[ErroneousBosh]

I'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.

[weinzierl]

That 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.