No there certainly is a chance for ML to improve here.
Let’s take the classic example of enhancing a blurry photo to get a license plate.
Humans may not be able to see much in the blur, but an AI trained on many different highly down-res’d images could at least give you plausible outcomes using far less data than a human brain would be able to say anything with confidence.
You wouldn’t hold it up as the absolute truth, but you’d run the potential plate and see if it matched some other data you have.
So yes, it wouldn’t magically add any more information to the image, but it could be far better at taking low information and giving plausible outcomes that are then necessary to verify.
Let’s take the classic example of enhancing a blurry photo to get a license plate.
Humans may not be able to see much in the blur, but an AI trained on many different highly down-res’d images could at least give you plausible outcomes using far less data than a human brain would be able to say anything with confidence.
You wouldn’t hold it up as the absolute truth, but you’d run the potential plate and see if it matched some other data you have.
So yes, it wouldn’t magically add any more information to the image, but it could be far better at taking low information and giving plausible outcomes that are then necessary to verify.