Deep Learning for Computer Vision

Super-resolution of images

The super-resolution is the process of creating higher resolution images from a smaller image. Traditionally, interpolations were used to create such bigger images. But interpolation misses the high-frequency details by giving a smoothened effect. Generative models that are trained for this specific purpose of super-resolution create images with excellent details. The following is an example of such models as proposed by Ledig et al. (https://arxiv.org/pdf/1609.04802.pdf). The left side is generated with 4x scaling and looks indistinguishable from the original on the right:

Reproduced from Ledig et al.

Super-resolution ...