Image super-resolution

Image super-resolution is a process that enhances the clarity and detail of a low-resolution image by creating a higher-resolution version. It uses advanced algorithms and machine learning models to predict and add missing details, effectively increasing the image's sharpness and quality. This technology is useful for improving images in areas like photography, security, and medical imaging, allowing for clearer visuals without requiring a higher-resolution original. Essentially, super-resolution transforms a blurry or pixelated picture into a sharper, more detailed one, making it more useful and visually appealing.