srez: Image super-resolution through deep learning. by David Garcia.
From the webpage:
Image super-resolution through deep learning. This project uses deep learning to upscale 16×16 images by a 4x factor. The resulting 64×64 images display sharp features that are plausible based on the dataset that was used to train the neural net.
Here’s an random, non cherry-picked, example of what this network can do. From left to right, the first column is the 16×16 input image, the second one is what you would get from a standard bicubic interpolation, the third is the output generated by the neural net, and on the right is the ground truth.
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Once you have collected names, you are likely to need image processing.
Here’s an interesting technique using deep learning. Face on at the moment but you can expect that to improve.