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SuperRes doesn't work like typical resize algorithms. It runs around other resizers. So let's say you want to use NNEDI3, it takes the larger image and the original image, does a Bicubic resize on the enlarged image to size it back down to the original, and then creates a difference map between the two, showing the details that were lost during the upsizing. From that diff map, it restores details and edges that were lost. Brilliant idea. It makes even basic resizers like Bilinear look decent.
Originally he was working on the Lab colorspace that definitely requires half-float data, and lately he dropped that to use Linear RGB colorspace. Perhaps I could try running with 8-bit-per-channel to see if there is a significant quality penalty.
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