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Subpixel Registration of Images (1999)
| Venue: | Proceedings of the 1999 Asilomar Conference on Signals, Systems, and Computers |
| Citations: | 9 - 0 self |
BibTeX
@INPROCEEDINGS{Stone99subpixelregistration,
author = {Harold Stone and Michael Orchard and Ee-chien Chang},
title = {Subpixel Registration of Images},
booktitle = {Proceedings of the 1999 Asilomar Conference on Signals, Systems, and Computers},
year = {1999},
pages = {1446--1452}
}
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Abstract
Phase correlation has been studied as a tool for registering pairs of images to subpixel resolution. Shekarforoush et al investigated an algorithm that works well for when observed data are samples of ideally bandlimited images. In fact, images of real scenes captured by modern optics are not ideally bandlimitedimages. This paper examines how aliasing in sampled images effects the ideal phase relationships between continuous images undergoing translational shifts. We show that the performance of standard phase correlation methods for subpixel image registration can be severely degraded with moderate amounts of aliasing, and we investigate two approaches for modeling aliasing effects in order to improve subpixel image registration accuracy. The first approach, a very simple algorithm, both conceptually and computationally, is based on detecting those frequency components that have become unreliable estimators of shift due to aliasing, and removing the detected components from the shift ...
Keyphrases
subpixel registration frequency component subpixel image registration phase correlation modern optic continuous image subpixel image registration accuracy sampled image effect real scene first approach detected component translational shift simple algorithm standard phase correlation method moderate amount ideal phase relationship unreliable estimator
