Super-resolution convolutional neural network on angle-resolved photoemission spectroscopy (ARPES) data, PHYS 549, Fall 2022, class project
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Updated
Apr 24, 2023 - Jupyter Notebook
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.
Deblurring blurred images using GAN architecture and OpenCV preprocessing techniques
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.
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