Often a low resolution image is needed to be up-scaled to a higher resolution. Even though there are already a lot of interpolation methods which accomplish that, none of them actually make the image look better and natural to the human eye.
Super resolution methods output an up-scaled image with improved details. The essentially unknown details in the high resolution output are filled in using different SR techniques.
For this project, I will focus on deep learning based SR using, mainly, EDSR and ProGANSR. I will train and model these architectures with PyTorch and convert them to ONNX representations which the DNN module (OpenVINO) of libXcam can infer from.