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Efficient subpixel image registration algorithms

Guizar-Sicairos, Manuel, Thurman, Samuel T., Fienup, James R.·2008·Optics Letters

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.

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Metadata

Authors
Guizar-Sicairos, M., Thurman, S. T., & Fienup, J. R.
Venue
Optics Letters
Published
2008-01-10
Volume
33
Issue
2
Pages
156
ISSN
  • 0146-9592 (ISSN-L)
  • 1539-4794
OpenAlex
W2081321639
Cited by
1,905
References
0
FWCI
46.78
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Efficient subpixel image registration algorithms. https://app.cochat.ai/papers/10.1364/ol.33.000156
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Guizar-Sicairos, M., Thurman, S. T., & Fienup, J. R. (2008). Efficient subpixel image registration algorithms. Optics Letters. https://doi.org/10.1364/ol.33.000156

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.