Free Pascal & Lazarus | Increasing Image Resolution with Neural Networks
This video quickly shows how to increase image resolution with neural networks.
The basic idea is: you train a neural network with a low resolution input and backpropagates with a higher resolution image as output.
Neural API: https://github.com/joaopauloschuler/n...
Increasing Image Resolution - Ready to Use APP: https://github.com/joaopauloschuler/n...
The training was made from 16x16 RGB to 32x32 RGB using the CIFAR-10 dataset. The trained neural network can then be used with images of any size. Interesting, isn't it?
This video was made in 2017 and is part of the Conscious Artificial Intelligence Project.
You can find more about my work at:
JP @ ResearchGate - https://www.researchgate.net/profile/...
JP @ GitHub - https://github.com/joaopauloschuler/
JP @ SOURCEFORGE - https://sourceforge.net/u/jpss/profile/
JP @ Papers with Code - https://paperswithcode.com/search?q=a...
JP @ kaggle - https://www.kaggle.com/joaopauloschul...
JP @ Home - http://www.schulers.com/jpss/
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