EURASIP Journal on Applied Signal Processing 
Volume 2006 (2006), Article ID 71459, 14 pages
doi:10.1155/ASP/2006/71459

A Frequency Domain Approach to Registration of Aliased Images with Application to Super-resolution

Patrick Vandewalle,1 Sabine Süsstrunk,1 and Martin Vetterli1,2

 1Ecole Polytechnique Fédéral de Lausanne, School of Computer and Communication Sciences, Lausanne 1015, Switzerland
2Department of Electrical Engineering and Computer Sciences, University of California, Berkeley 94720-1770, CA, USA
Received 27 November 2004; Revised 4 May 2005; Accepted 18 May 2005

Abstract

Super-resolution algorithms reconstruct a high-resolution image from a set of low-resolution images of a scene. Precise alignment of the input images is an essential part of such algorithms. If the low-resolution images are undersampled and have aliasing artifacts, the performance of standard registration algorithms decreases. We propose a frequency domain technique to precisely register a set of aliased images, based on their low-frequency, aliasing-free part. A high-resolution image is then reconstructed using cubic interpolation. Our algorithm is compared to other algorithms in simulations and practical experiments using real aliased images. Both show very good visual results and prove the attractivity of our approach in the case of aliased input images. A possible application is to digital cameras where a set of rapidly acquired images can be used to recover a higher-resolution final image.