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> Is there a way to "undo" motion blur and get a sharp picture? Not really, no, any more than there is a way to unblur something that was shot out of focus. Y

> Is there a way to "undo" motion blur and get a sharp picture? Not really, no, any more than there is a way to unblur something that was shot out of focus. You can play clever tricks with motion estimation and neural networks but really all you're getting is a prediction of what it might have been like if the data had really been present. Once the information is gone, it's gone.

weinzierl 10mo ago
If the estimation is good it might be enough for some use cases. Is there any software out there that specializes in this? Similarly to maybe AI colorizing or upscaling, which both guess information that is not there anymore.
memoriuaysj 10mo ago
it's not gone, just more difficult to extract video has certain temporal statistics which can allow you to fit the missing information only true blurred white noise is impossible to recover
- ErroneousBosh 10mo ago
  It really is gone. You can predict what you think it might have been, but you can't know what it was.
  - memoriuaysj 10mo 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 10mo ago
      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.
    - ErroneousBosh 10mo ago
      No, it's not "restoring detail". The information is gone. It is predicting what the information might maybe have been like.
      - memoriuaysj 10mo ago
        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 10mo ago
        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.
crazygringo 10mo ago
> Not really, no, any more than there is a way to unblur something that was shot out of focus. This is actually possible: https://en.wikipedia.org/wiki/Deconvolution https://en.wikipedia.org/wiki/Deconvolution If you have a high-quality image (before any compression) with a consistent blur, you can actually remove blur surprisingly well. Not completely perfectly, but often to a surprising degree that defies intuition. And it's not a prediction -- it's recovering the actual data. Just because it's blurred doesn't mean it's gone -- it's just smeared across pixels, but clever math can be use to recover it. It's used widely in certain types of scientific imaging. For photographers, it's most useful in removing motion blur from accidentally moving the camera while snapping a photo.

weinzierl 10mo ago

If the estimation is good it might be enough for some use cases. Is there any software out there that specializes in this? Similarly to maybe AI colorizing or upscaling, which both guess information that is not there anymore.

memoriuaysj 10mo ago

it's not gone, just more difficult to extract video has certain temporal statistics which can allow you to fit the missing information only true blurred white noise is impossible to recover

ErroneousBosh 10mo ago
It really is gone. You can predict what you think it might have been, but you can't know what it was.
- memoriuaysj 10mo 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 10mo ago
    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.
  - ErroneousBosh 10mo ago
    No, it's not "restoring detail". The information is gone. It is predicting what the information might maybe have been like.
    - memoriuaysj 10mo ago
      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 10mo ago
        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.

crazygringo 10mo ago

> Not really, no, any more than there is a way to unblur something that was shot out of focus. This is actually possible: https://en.wikipedia.org/wiki/Deconvolution https://en.wikipedia.org/wiki/Deconvolution If you have a high-quality image (before any compression) with a consistent blur, you can actually remove blur surprisingly well. Not completely perfectly, but often to a surprising degree that defies intuition. And it's not a prediction -- it's recovering the actual data. Just because it's blurred doesn't mean it's gone -- it's just smeared across pixels, but clever math can be use to recover it. It's used widely in certain types of scientific imaging. For photographers, it's most useful in removing motion blur from accidentally moving the camera while snapping a photo.