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Proceedings Paper

Comparison of subpixel image registration algorithms
Author(s): R. R. Boye; C. L. Nelson
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Paper Abstract

Research into the use of multiframe superresolution has led to the development of algorithms for providing images with enhanced resolution using several lower resolution copies. An integral component of these algorithms is the determination of the registration of each of the low resolution images to a reference image. Without this information, no resolution enhancement can be attained. We have endeavored to find a suitable method for registering severely undersampled images by comparing several approaches. To test the algorithms, an ideal image is input to a simulated image formation program, creating several undersampled images with known geometric transformations. The registration algorithms are then applied to the set of low resolution images and the estimated registration parameters compared to the actual values. This investigation is limited to monochromatic images (extension to color images is not difficult) and only considers global geometric transformations. Each registration approach will be reviewed and evaluated with respect to the accuracy of the estimated registration parameters as well as the computational complexity required. In addition, the effects of image content, specifically spatial frequency content, as well as the immunity of the registration algorithms to noise will be discussed.

Paper Details

Date Published: 2 February 2009
PDF: 9 pages
Proc. SPIE 7246, Computational Imaging VII, 72460X (2 February 2009); doi: 10.1117/12.810369
Show Author Affiliations
R. R. Boye, Sandia National Labs. (United States)
C. L. Nelson, Sandia National Labs. (United States)

Published in SPIE Proceedings Vol. 7246:
Computational Imaging VII
Charles A. Bouman; Eric L. Miller; Ilya Pollak, Editor(s)

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