Super Resolution is a technique used in image processing to enhance the resolution of images. It involves algorithms that analyze low-resolution images and generate higher-resolution versions by filling in missing details. This process can improve the clarity and quality of images, making them more suitable for various applications, such as medical imaging and satellite photography. The technology can be applied in different fields, including computer vision and artificial intelligence. By using deep learning models, Super Resolution can create realistic images from pixelated or blurry originals, allowing for better visual experiences in photography, video games, and even security systems.