Hardware Modeling of Motion Free Super Resolution

The high resolution (HR) images have applications in a ample variety of areas such as robotics, industrial inspection, remote sensing, image transmission, medical imaging and surveillance because it offers additional details that are important for analysis. Super-resolution (SR) techniques can be used to increase the resolution from several degraded low resolution (LR) images. Unlike other SR imaging methods, for the motion-free SR case sub-pixel registration of given LR observations are not required. HR image is obtained from a set of down sampled observations blurred to dissimilar extents. In this work , SR reconstruction from LR images is implemented using Iterative Back Propagation (IBP) algorithm where High resolution image is estimated by back projecting the variation between simulated LR images through imaging blur and the observed LR images and the process is recurring iteratively till the error is minimized. Results are compared in terms of speed using MATLAB and XILINX simulation tools.