Deep Learning, Image Processing, Convolutional Network, Machine Learning, Artificial Intelligence.
features, e.g. by using bilinear or nearest-neighbour upsampling. For more ways of tackling the problem, check out this article. Loss functions Image super-resolution with EDSR network trained. From left to right: ground truth, output of the model trained with SSIM as a loss, output of the model