- Optics Letters
- Vol. 33,
- Issue 2,
- pp. 156-158
- (2008)
- •https://doi.org/10.1364/OL.33.000156

Efficient subpixel image registration algorithms
Manuel Guizar-Sicairos, Samuel T. Thurman, and James R. Fienup
Author Affiliations
Manuel Guizar-Sicairos,1Samuel T. Thurman,1and James R. Fienup1,*
1The Institute of Optics, University of Rochester, Rochester, New York, 14627, USA
*Corresponding author:fienup@optics.rochester.edu
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Get CitationCopy Citation TextManuel Guizar-Sicairos, Samuel T. Thurman, and James R. Fienup, "Efficient subpixel image registration algorithms," Opt. Lett.33, 156-158 (2008)Export Citation
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- Table of Contents Category
- Image Processing
Optics & Photonics TopicsThe topics in this list come from theOptics and Photonics Topics applied to this article.- Biomedical imaging
- Fourier transforms
- Image quality
- Image reconstruction
- Image registration
- Machine vision
- History
- Original Manuscript: September 7, 2007
- Revised Manuscript: December 7, 2007
- Manuscript Accepted: December 7, 2007
- Published: January 10, 2008
Abstract
Three new algorithms for 2D translation image registration to within a small fraction of a pixel that use nonlinear optimization and matrix-multiply discrete Fourier transforms are compared. These algorithms can achieve registration with an accuracy equivalent to that of the conventional fast Fourier transform upsampling approach in a small fraction of the computation time and with greatly reduced memory requirements. Their accuracy and computation time are compared for the purpose of evaluating a translation-invariant error metric.
© 2008 Optical Society of America
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