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OpenCV has a module called "super resolution"[0] whose goal is to reconstruct high-quality images from multiple low quality images. 0. https://www.youtube.com/
by daenz 7y ago
OpenCV has a module called "super resolution"[0] whose goal is to reconstruct high-quality images from multiple low quality images.
0. https://www.youtube.com/watch?v=E6mePD21sIU https://www.youtube.com/watch?v=E6mePD21sIU
- CamperBob2 7y agoThat's terrible. I want my 1:35 back
- jonplackett 7y agoTry this instead. Best example of enhancing on the internet. https://www.dailymotion.com/video/x2qlmuy https://www.dailymotion.com/video/x2qlmuy
- taneq 7y agoDon't they do something like that to boost the resolution of space telescopes? Also I seem to remember reading something about processing a stream of images from an earthbound telescope to cancel out atmospheric distortion.
- AlanYx 7y agoSpace telescopes don't do super-resolution of the type used for video, but they do something a little similar. They use a technique called aperture synthesis which combines signals from a collection of instruments so that they have the same angular resolution as a much larger virtual instrument.
- marsokod 7y agoSuper resolution can only do so much. Basically, a x2 or x4 improvement at best, especially on features more complex than text. Also, as soon as you compress your video stream you lose a lot of information that would actually be used by these algorithms. If a high res stream is available, it is much better to use it. A basic face detection algorithm and snapshots of them saved regularly would go a long way and are really simple to implement.