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.
This is actually possible:
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.