video has certain temporal statistics which can allow you to fit the missing information
only true blurred white noise is impossible to recover
video has certain temporal statistics which can allow you to fit the missing information
only true blurred white noise is impossible to recover
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
It is predicting what the information might maybe have been like.
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.