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Super-resolution convolutional neural network on angle-resolved photoemission spectroscopy (ARPES) data, PHYS 549, Fall 2022, class project
This project is an implementation of a Super Resolution Convolutional Neural Network as a personal project for Machine Learning graduate course of Technical University of Crete.
Showcases image processing techniques using hyperspectral imaging. It includes the steps to import hyperspectral images, generate a low-resolution hyperspectral image, and a high-resolution RGB image. The script splits the images into training and testing sets, normalizes the data, and then proceeds to create a super-resolution model using a CNN.