Advanced Image Super-Resolution Using Deep Learning

The recent growth of Deep learning has transformed the area of Image Super-Resolution (ISR) which enables thereconstruction of high-quality images from low-resolution images. The improvement of low quality images to high-qualityresolution images. The complete guide provides an in-depth overview of the advanced methodologies and applications of ISRusing 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 suchas Medical Imaging, Surveillance, Astronomy, and Autonomous driving. This compiled resource is intended to be a one-stopreference guide to the intricacies of ISR using deep learning and it's many prospects for real-world applications forresearchers, practitioners, and students.