dcscn-super-resolution
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Residual learning at the output
We input a size x image and get size X^2 at the output in iteration. Which image is considered as HR in calculating residual for tunning the network parameters? As currently we do not have an HR image available. Secondly, in batch processing what is the difference between true image and input image? How true images are generated from the input image patches?