Single Image Super Resolution using Residual Learning

The Resnet model is similar to the ensemble, and its performance and parameters can be considered according to the modular design. Currently, Resnet is widely used as a backbone network. In particular, the Resnet module that compensates the weight can consider the similarity of pixels. Therefore, in this paper, we propose a method to increase the similarity between pixels by performing the operation of the Resnet module which has an effect similar to the ensemble operation. It give us a better high resolution image.

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