I started something like this long ago but didn't get very far with it. This was before "deep learning" and I was groping in the dark, but I think the concept i

I started something like this long ago but didn't get very far with it. This was before "deep learning" and I was groping in the dark, but I think the concept is sound up to a point. The idea was to train a neural net and build up a database of features (maybe on the order of 1-10 GB, or whatever is just small enough to ship) to estimate the missing details from downscaled and extremely over-compressed JPEGs. If it worked, I think it would also improve the quality of all the 10-20 year old images out there where the uncompressed source is long gone. Sort of a Blade Runner-style "enhance" tool, but of course it would only be filling in aesthetically plausible details.