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Proceedings Paper

Multiresolution image registration procedure using spline pyramids
Author(s): Michael A. Unser; Akram Aldroubi; Charles R. Gerfen
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Paper Abstract

We present an iterative multiresolution algorithm for the translational and rotational alignment of digital images. An image is represented by an interpolating spline. Coarser versions of this continuous image model are obtained by using spline approximations at various scales (polynomial spline pyramid). We use a coarse-to-fine updating strategy to compute the alignment parameters iteratively, using a variation of the Levenberg-Marquardt non-linear least-squares optimization method. This approach yields very precise image registration with subpixel accuracy. It is also much faster and more robust than a comparable single-scale implementation, because the resolution of the underlying image mode is adapted to the step size of the algorithm.

Paper Details

Date Published: 1 November 1993
PDF: 11 pages
Proc. SPIE 2034, Mathematical Imaging: Wavelet Applications in Signal and Image Processing, (1 November 1993); doi: 10.1117/12.162061
Show Author Affiliations
Michael A. Unser, National Institutes of Health (United States)
Akram Aldroubi, National Institutes of Health (United States)
Charles R. Gerfen, National Institutes of Health (United States)


Published in SPIE Proceedings Vol. 2034:
Mathematical Imaging: Wavelet Applications in Signal and Image Processing
Andrew F. Laine, Editor(s)

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