Advanced Image Super-Resolution Using Deep Learning

Abstract

The recent growth of Deep learning has transformed the area of Image Super-Resolution (ISR) which enables the reconstruction of high-quality images from low-resolution images. The improvement of low quality images to high-quality resolution images. The complete guide provides an in-depth overview of the advanced methodologies and applications of ISR using deep learning. We discuss the basic of ISR, models and algorithms of ISR namely, Generative Adversarial Networks (GANs), Convolutional Neural Networks (CNNs) and attention-based models. We further discuss the applications of ISR such as Medical Imaging, Surveillance, Astronomy, and Autonomous driving. This compiled resource is intended to be a one-stop reference guide to the intricacies of ISR using deep learning and it's many prospects for real-world applications for researchers, practitioners, and students.