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Image super-resolution through deep learning – GitHub
- david-gpu 10y agoAuthor here -- first time submitting anything to HN. Please let me know if you have any suggestions.
- zepolen 10y agoHoly shit, Enhance is actually possible!
- simple10 10y agoImpressive! Would be great to see more examples.
- goldenkey 10y agoIt would be more impressive to see the variety of features that could be the image in question. 16 possibilities if I am correct.
- david-gpu 10y agoSorry, I don't understand. What sort of features are you thinking about? And why only 16 possibilities? There's a nearly infinite number of ways in which the average of 4x4 pixels can be a particular value.
- yummybear 10y agoHave you tried using it on surveillance photos (such as police requesting citizens help). These are often of poor quality.
- david-gpu 10y agoI have not done that yet, but that was basically my original motivation. The main difficulty would be obtaining a good dataset for training, specifically a dataset where most of the faces are not looking straight ahead at the camera, and where the camera is located above eye level as would be the case in a typical security camera.
- toisanji 10y agofrom movies and classifier that looks through images.
- jones1618 10y agoFantastic result! It would be valuable to see statistics about how well this algorithm does against the face database itself. De-rez a sample of images from the database, up-rez them and then find them in the database using face recognition. How often is the original image identified from the up-rezzed version? It would also be interesting to see how different the up-rez results are if the original is cropped differently, shifted, slightly rotated, darkened or lightened.
- hatsunearu 10y agoSuuuper late to the discussion, but there is a project for anime-style images and denoising that uses CNNs. https://github.com/nagadomi/waifu2x https://github.com/nagadomi/waifu2x