Super resolution is the process of enhancing the details in an image, especially the ones with deteriorated quality, like images captured underwater, blurred by smoke or mist and likes. The applications of super resolution are multi fold, from identifying structures from satellite images to getting higher resolution images of persons from obscured surveillance footage and dash camera videos. Another utility of super resolution is in increasing the resolution of images without the images getting pixelated.
Generative Image Processing based super resolution can not only improve the quality and resolution of the images, but also enhance them by in painting missing details and correcting the features with diminished quality. Healthcare is another field with vast potential for super resolution aided image enhancement as most of the medical images, like X-ray images, have low resolution with geometric distortions and low contrast issues.