Iterative-Interpolation Super-Resolution Image Reconstruction

Abstract

In the last two decades, extensive literature [6-10] has been produced on the research of super-resolution image reconstruction. The research has witnessed the introduction of many techniques in order to achieve high-resolution images from a sequence of geometrically warped, blurred, noisy, and under-sampled low-resolution images. Each of these techniques is either an extension of some previous methodologies or differs from the other techniques in their assumptions of the observation model or the type of reconstruction method applied for achieving the high-resolution images. On a broader aspect, we divide the various super-resolution techniques depending upon the domain (spatial or frequency) they are based on.