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Subpixel Image Registration by Estimating the Polyphase Decomposition of Cross Power Spectrum

Hassan Shekarforoush, Marc Berthod, Josiane Zerubia
CVPR 1996 pp. 532-537
doi:10.1109/CVPR.1996.517123 /cvpr/1996/shekarforoush1996cvpr-subpixel/

Abstract

A method of registering images at subpixel accuracy has been proposed, which does not resort to interpolation. The method is based on the phase correlation method and is remarkably robust to correlated noise and uniform variations of luminance. We have shown that the cross power spectrum of two images, containing subpixel shifts, is a polyphase decomposition of a Dirac delta function. By estimating the sum of polyphase components one can then determine sub-pixel shifts along each axis.

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Cite

Text

Shekarforoush et al. "Subpixel Image Registration by Estimating the Polyphase Decomposition of Cross Power Spectrum." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1996. doi:10.1109/CVPR.1996.517123

Markdown

[Shekarforoush et al. "Subpixel Image Registration by Estimating the Polyphase Decomposition of Cross Power Spectrum." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1996.](https://mlanthology.org/cvpr/1996/shekarforoush1996cvpr-subpixel/) doi:10.1109/CVPR.1996.517123

BibTeX

@inproceedings{shekarforoush1996cvpr-subpixel,
  title     = {{Subpixel Image Registration by Estimating the Polyphase Decomposition of Cross Power Spectrum}},
  author    = {Shekarforoush, Hassan and Berthod, Marc and Zerubia, Josiane},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1996},
  pages     = {532-537},
  doi       = {10.1109/CVPR.1996.517123},
  url       = {https://mlanthology.org/cvpr/1996/shekarforoush1996cvpr-subpixel/}
}