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> it's not going to recover real details, it's just going to sharpen lines and potentially show details that look real but might not be Super resolution as a n
by timthorn 4y ago
> it's not going to recover real details, it's just going to sharpen lines and potentially show details that look real but might not be
Super resolution as a name covers a number of techniques, but some absolutely can recover real details. Eg Superresolution from video will integrate over time, allowing sub-pixel accuracy. Imagine a grid of pixels, each of which covering a defined area of the source. Now, if that grid moves, the area covered by each pixel will be slightly different. The differences between frames can then be used to determine with accuracy a higher resolution output image.
- elil17 4y agoThat's really cool. However, that's not what ESRI is doing. You can see evidence of the mistakes it will make in their own blog post.
- dr_zoidberg 4y agoIndeed, in this case ESRI is talking about deep-learning based single image superresolution. With multiple images, even something as simple as shift-and-add can recover details (and lower noise in the picture), but you do require having multiple images. Video being a sequence of images, with large or small movement in between frames, can be an ideal source for robust SR algorithms. To complicate things further, there are deep-learing based multi-image SR algorithms too.