An iterative approach to image super-resolution

Abstract

Undersampling and aliasing occurs frequently in many imaging systems leading to degradation of image quality. Super-resolution attempts to reconstruct a high-resolution image by fusing the incomplete scene information contained in the sequence of under-sampled images. This paper investigates iterative approaches to super-resolution. We propose algorithm that utilises a relatively small number of low-resolution images and is computationally inexpensive. Experimental results of reconstruction are presented.