Real Image Super-Resolution using GAN through modeling of LR and HR process
Real Image Super-Resolution using GAN through modeling of LR and HR process
The current existing deep image super-resolution methods usually assume that a Low Resolution (LR) image is bicubicly downscaled of a High Resolution (HR) image. However, such an ideal bicubic downsampling process is different from the real LR degradations, which usually come from complicated combinations of different degradation processes, such as …