In some other thread i posted similar idea - to train neural network with pairs of aliased and normal files (better on the raw level) to eliminate moire and aliasing, but seem no one interested in it
For fast training sample creation it is need to mimic/emulate the line skipping algo thats in the camera, and train with that pairs of raw data to reconstruct original (or create some new) information like Topaz Gigapixel do
For fast training sample creation it is need to mimic/emulate the line skipping algo thats in the camera, and train with that pairs of raw data to reconstruct original (or create some new) information like Topaz Gigapixel do