Optimal registration of aliased images using variable projection with applications to super-resolution

Published

Journal Article

Accurate registration of images is the most important and challenging aspect of multiframe image restoration problems such as super-resolution. The accuracy of super-resolution algorithms is quite often limited by the ability to register a set of low-resolution images. The main challenge in registering such images is the presence of aliasing. In this paper, we analyse the problem of jointly registering a set of aliased images and its relationship to super-resolution. We describe a statistically optimal approach to multiframe registration which exploits the concept of variable projections to achieve very efficient algorithms. Finally, we demonstrate how the proposed algorithm offers accurate estimation under various conditions when standard approaches fail to provide sufficient accuracy for super-resolution. © The Author 2007. Published by Oxford University Press on behalf of The British Computer Society. All rights reserved.

Full Text

Duke Authors

Cited Authors

  • Robinson, D; Farsiu, S; Milanfar, P

Published Date

  • January 1, 2009

Published In

Volume / Issue

  • 52 / 1

Start / End Page

  • 31 - 42

Electronic International Standard Serial Number (EISSN)

  • 1460-2067

International Standard Serial Number (ISSN)

  • 0010-4620

Digital Object Identifier (DOI)

  • 10.1093/comjnl/bxm007

Citation Source

  • Scopus