In this paper. an efficient super-resolution (SR) method based on deep convolutional neural network (CNN) is proposed. namely gradual upsampling network (GUN). Recent CNN-based SR methods often preliminarily magnify the low-resolution (LR) input to high-resolution (HR) input and then reconstruct the HR input. https://www.opheliasmuse.com/