Along the same line: Some years ago Cliff Reiter (Lafayette College) (using Jsoftware) demonstrated and published 'lossless edge' image rotation using fractals.
David On 07/09/2017 08:16 AM, Michael Below wrote: > Hi, > > last week I took a couple of images at a concert, and it turned out > that only a small part of each image was interesting. I was too far > away, with a wide-angle lens, so the band I wanted to photograph was in > a small part in the center of the frame with lots of other stuff around > them, stage, audience etc. > > Now this can be solved by taking better pictures, coming closer, being > prepared with a telephoto lens etc. - but there also seems to be a > solution that could find its way into darktable. > > There have been a number of media reports about machine learning > experiments by Google etc. to add missing detail to images during > upscaling. It seems like the results are often quite convincing. Now I > stumbled upon a Github project for this that seems to offer a hands-on > solution which might be a basis for implementation in darktable: > > https://github.com/lucasdupin/ml-image-scaling > > What do you think? I imagine this would be useful... > > Cheers > Michael > ____________________________________________________________________________ > darktable user mailing list > to unsubscribe send a mail to [email protected] > ____________________________________________________________________________ darktable user mailing list to unsubscribe send a mail to [email protected]
