Quote:
Originally Posted by Anima123
Shiandow, it make me curious if it helps with the overall quality once a good downscaler was adopted into SuperRes.
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It's kind of difficult to predict what effect a different downscaler will have, especially a non-linear one. It might also be the wrong way to go about it, I think there's a better way to use their ideas in SuperRes.
Basically, the basis of their algorithm is similar to SuperRes; they generates a resized image which is in some way 'similar' to the input. In their case they generate a smaller image, instead of a bigger image (which means that there's a unique solution). But they also use a different way to measure similarity. It would make more sense to see if SuperRes could use their method to measure similarity, which would actually remove the need to use a downscaling algorithm at all.
Coincidentally, if you use SuperRes's method for measuring similarity to downscale an image you'd get the 'box' downscaling algorithm, which isn't
that bad, but Mitchell-Nertavalli is easily better.