Paper Title
Digital Super Resolution In Images

Abstract
The resolution of many optical imaging systems is limited due to the finite size of pixels, larger the size of pixels, worse is the resolution. Smaller pixels provide better resolution, but they come at higher cost. Digital super resolution is image acquisition and processing technique that tries to enhance the pixel-limited resolution in images. We will study DSR techniques based on generalized sampling theorem, where in, multiple images of a static object are acquired using sub-pixel shifts, and a high resolution image is extracted from these set of images which have lower resolution in comparison. Keywords - Generalized Sampling, Inverse Problems Super Resolution