Abstract
This lecture overviews Super Resolution that has many applications in digital imaging, display and printing. It covers the following topics in detail: Multi-Image Super Resolution, MISR in Frequency Domain, Statistical Approach, Single-Image Super Resolution in Spatial Domain (Nearest Neighbor Interpolation, Bilinear Interpolation, Bicubic Interpolation). Deep Learning Super Resolution Methods (Super Resolution GANs, Enhanced GANs, MISR with Residual Attention Network).
DNN Super Resolution.
GAN Super Resolution.
Super-Resolution-v1.6-Summary