Quote:
Originally Posted by SEt
To me it looks like NeuronDoubler just have way more ringing.
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Indeed, with sharp images it creates very noticeable ringing, it seems it works best on soft images. For example, NeuronDoubler IMO worked well with the flowers image. I wonder what makes nnedi3 so well balanced? Much more robust neural network/training data?
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@foxyshadis
Interesting information, kinda sad that ND is only using 64 neurons. nnedi3_rpow2 by default uses 128. Judging by the speed I assumed ND was processing everything at it's highest quality possible, I guess that's not the case.
Edit: Regarding nnedi3+edge enhancement, tritical was working on nnedi4 and
nnsharpen. The results looked great, I wonder why tritical never released it? For those interested you can find some examples of nnedi4+nnsharpen
here.