Deep-Learning-Empowered Super Resolution: A Comprehensive Survey and Future Prospects

Super-resolution (SR) has garnered significant attention within the computer vision community, driven by advances in deep learning (DL) techniques and the growing demand for high-quality visual applications. With the expansion of this field, numerous surveys have emerged. Most existing surveys focus on specific domains, lacking a comprehensive overview of this field. Here, we present an in-depth review of diverse SR methods, encompassing single-image SR (SISR), video SR (VSR), stereo SR (SSR), a