Alignment and sub-pixel interpolation of images using Fourier methods

C. Glasbey, G.W.A.M. van der Heijden

    Research output: Contribution to journalArticleAcademicpeer-review

    2 Citations (Scopus)


    A method is proposed for both estimating and correcting a translational mis-alignment between digital images, taking account of aliasing of high-frequency information. A parametric model is proposed for the power- and cross-spectra of the multivariate stochastic process that is assumed to have generated a continuous-space version of the images. Parameters, including those that specify misalignment, are estimated by numerical maximum likelihood. The effectiveness of the interpolant is confirmed by simulation and illustrated using multi-band Landsat images.
    Original languageEnglish
    Pages (from-to)217-230
    Number of pages14
    JournalJournal of Applied Statistics
    Issue number2
    Publication statusPublished - 2007

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