Super-resolution imaging is a technique that enhances the resolution of images beyond the limits of traditional imaging methods. It combines multiple low-resolution images to create a single high-resolution image, allowing for finer details to be observed. This process is particularly useful in fields like medical imaging, microscopy, and satellite imaging. The technology relies on advanced algorithms and computational methods to reconstruct details that are not visible in standard images. By analyzing patterns and information from the lower-quality images, super-resolution imaging can produce clearer and more detailed visuals, improving our understanding of complex subjects in various scientific and industrial applications.