Single image super-resolution via Image Quality Assessment-Guided Deep Learning Network
Fig 7
Visual effects and quantitative comparison (RMSE and Perceptual Index) of our methods with Bicubic, EnhanceNet, RCAN, EDSR-GAN and EDSR-VGG 2,2.
(a) shows the results of 095.png from Urban100 dataset, (b) shows the results of 039.png from BSD100 dataset, (c) shows the results of 001.png from Set5 dataset, (d) shows the results of 011.png from Set14 dataset, (e) shows the results of 804.png from DIV2K dataset, (f) shows the results of 805.png from DIV2K dataset, (g) shows the results of 057.png from Urban100 dataset, (h) shows the results of 080.png from Urban100 dataset, (i) shows the results of 801.png from DIV2K dataset.