SRCNN

SRCNN learns an end-to-end mapping between the low/high-resolution images by convolutional neural network (CNN). Given a low-resolution image Y, the first convolutional layer of the SRCNN extracts a set of feature maps. The second layer maps these feature maps nonlinearly to high-resolution patch representations. The last layer combines the predictions within a spatial neighbourhood to produce the final high-resolution image.

This learning project aims at reproducing the SRCNN.