Efficient subpixel image registration algorithms
Optics Letters, Vol. 33, Issue 2, pp. 156-158 (2008)
http://dx.doi.org/10.1364/OL.33.000156
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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
OCIS Codes
(100.2000) Image processing : Digital image processing
(100.3020) Image processing : Image reconstruction-restoration
(100.5010) Image processing : Pattern recognition
(100.5070) Image processing : Phase retrieval
ToC Category:
Image Processing
History
Original Manuscript: September 7, 2007
Revised Manuscript: December 7, 2007
Manuscript Accepted: December 7, 2007
Published: January 10, 2008
Citation
Manuel Guizar-Sicairos, Samuel T. Thurman, and James R. Fienup, "Efficient subpixel image registration algorithms," Opt. Lett. 33, 156-158 (2008)
http://www.opticsinfobase.org/ol/abstract.cfm?URI=ol-33-2-156
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