Alignment and Sub-pixel Interpolation of Images using Fourier Methods
C. A. Glasbey and
G. W. A. M. Van Der Heijden
Journal of Applied Statistics, 2007, vol. 34, issue 2, 217-230
Abstract:
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.
Keywords: Aliasing; coherency; complex Gaussian distribution; cross-spectrum; landsat image; phase spectrum; power spectrum; sub-pixel (search for similar items in EconPapers)
Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:taf:japsta:v:34:y:2007:i:2:p:217-230
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DOI: 10.1080/02664760600995155
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