Quantitative Testing of Probabilistic Phase Unwrapping Methods
Loading...
Date
2001
Authors
Moran, Jodi
Journal Title
Journal ISSN
Volume Title
Publisher
University of Waterloo
Abstract
The reconstruction of a phase surface from the observed principal values is required for a
number of applications, including synthetic aperture radar (SAR) and magnetic resonance
imaging (MRI). However, the process of reconstruction, called “phase unwrapping”, is an
ill-posed problem. One class of phase-unwrapping algorithms uses smoothness prior models
to remedy this situation. We categorize this class of algorithms according to the type
of prior model used. Motivated by this categorization, we propose that phase-unwrapping
algorithms be tested by generating phase surfaces from the prior models, and then quantifying
the deviation of each reconstructed surface from the corresponding original surface.
Finally, we present results of the new testing method on a selection of phase-unwrapping
algorithms, including a new algorithm.
Description
Keywords
Computer Science, phase unwrapping, bayesian, probability, testing