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

Publication ,  Journal Article
Robinson, D; Farsiu, S; Milanfar, P
Published in: Computer Journal
January 1, 2009

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.

Duke Scholars

Published In

Computer Journal

DOI

EISSN

1460-2067

ISSN

0010-4620

Publication Date

January 1, 2009

Volume

52

Issue

1

Start / End Page

31 / 42

Related Subject Headings

  • Computation Theory & Mathematics
  • 46 Information and computing sciences
  • 08 Information and Computing Sciences
 

Citation

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Robinson, D., Farsiu, S., & Milanfar, P. (2009). Optimal registration of aliased images using variable projection with applications to super-resolution. Computer Journal, 52(1), 31–42. https://doi.org/10.1093/comjnl/bxm007
Robinson, D., S. Farsiu, and P. Milanfar. “Optimal registration of aliased images using variable projection with applications to super-resolution.” Computer Journal 52, no. 1 (January 1, 2009): 31–42. https://doi.org/10.1093/comjnl/bxm007.
Robinson D, Farsiu S, Milanfar P. Optimal registration of aliased images using variable projection with applications to super-resolution. Computer Journal. 2009 Jan 1;52(1):31–42.
Robinson, D., et al. “Optimal registration of aliased images using variable projection with applications to super-resolution.” Computer Journal, vol. 52, no. 1, Jan. 2009, pp. 31–42. Scopus, doi:10.1093/comjnl/bxm007.
Robinson D, Farsiu S, Milanfar P. Optimal registration of aliased images using variable projection with applications to super-resolution. Computer Journal. 2009 Jan 1;52(1):31–42.
Journal cover image

Published In

Computer Journal

DOI

EISSN

1460-2067

ISSN

0010-4620

Publication Date

January 1, 2009

Volume

52

Issue

1

Start / End Page

31 / 42

Related Subject Headings

  • Computation Theory & Mathematics
  • 46 Information and computing sciences
  • 08 Information and Computing Sciences