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I don't know whats important and whats not, and these questions could depend highly on each other:
The existing nearest neighbour scaling function would probably be better as a bicubic one, in examples so far I've been scaling manually as opposed to using the automatic approach I coded.
It might be important that the input image is high quality, losslessly compressed etc...
Should the scaling function use the same sort of scaling for (where used, downscaling the ground truth) and (upscaling the 'orig' image each iteration)?
Is it always better to use a single iteration, or when this really works well will multiple iterations become more effective?
I don't know whats important and whats not, and these questions could depend highly on each other:
The existing nearest neighbour scaling function would probably be better as a bicubic one, in examples so far I've been scaling manually as opposed to using the automatic approach I coded.
It might be important that the input image is high quality, losslessly compressed etc...
Should the scaling function use the same sort of scaling for (where used, downscaling the ground truth) and (upscaling the 'orig' image each iteration)?
Is it always better to use a single iteration, or when this really works well will multiple iterations become more effective?
Ticked items are resolved.