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I thought "super resolution" used to mean: construct a high res image from several low res images of the same thing. Which means it isn't making up information
by timmg 4y ago
I thought "super resolution" used to mean: construct a high res image from several low res images of the same thing. Which means it isn't making up information (I don't think).
ML-based "super resolution" is more trying to "guess" what the extra pixel data is based on images of other things. I thought that was (should be) called "upscaling".
Are we changing the meaning of this term? Or do I have it wrong? (Or do they have it wrong?)
- xhkkffbf 4y agoThere are a number of different algorithms that people use. You're right about the algorithms that use several images. They may not be making up anything. But there are others that do their best guess and they might be said to be making things up.
- deleted 4y ago[deleted]