title: Efficient subpixel image registration algorithms.
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.
authors.affiliation: The Institute of Optics, University of Rochester, Rochester, New York, 14627, USA.
authors.forename: Manuel
authors.initials: M
authors.lastname: Guizar-Sicairos
authors.forename: Samuel T
authors.initials: ST
authors.lastname: Thurman
authors.forename: James R
authors.initials: JR
authors.lastname: Fienup