Phase diversity with undersampled systems via superresolution preprocessing

Phase diversity with undersampled systems via superresolution preprocessing

Phase diversity algorithms allow a wavefront to be reconstructed from through-focus measurements of a point source or extended scene. These algorithms have traditionally been limited to systems that are Nyquist sampled. Many optical systems for remote sensing applications are designed to be undersam...

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Veröffentlicht in:Optics letters 2012-07, Vol.37 (13), p.2463-2465
1. Verfasser: Shields, Eric A
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Sprache:eng
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Algorithms
Phase diversity
Point sources
Preprocessing
Remote sensing
Wave fronts
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container_title Optics letters
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creator Shields, Eric A
description Phase diversity algorithms allow a wavefront to be reconstructed from through-focus measurements of a point source or extended scene. These algorithms have traditionally been limited to systems that are Nyquist sampled. Many optical systems for remote sensing applications are designed to be undersampled, however. One approach to phase diversity with undersampled systems is to employ superresolution techniques to first create properly sampled scenes. This is demonstrated experimentally for a point object, but is applicable to extended scenes as well.
doi_str_mv 10.1364/OL.37.002463
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source Optica Publishing Group Journals
subjects Algorithms
Phase diversity
Point sources
Preprocessing
Remote sensing
Wave fronts
title Phase diversity with undersampled systems via superresolution preprocessing
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