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Proceedings Paper

Results on local wavefront reconstruction as a technique to remove macroscopic shape
Author(s): Daniel M. Topa; James K. Gruetzner
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Paper Abstract

A problem with wavefront reconstruction is that smaller details are often smeared out in the background of larger noise. A least squares fit tries to distribute measurement errors over the entire region. Features of the size of the RMS error tend to get obscured. We present a reconstruction algorithm and framework that redresses some of these problems. Small patches are reconstructed and then joined together. We discuss how this is implemented.

Paper Details

Date Published: 24 November 2002
PDF: 9 pages
Proc. SPIE 4794, Vision Geometry XI, (24 November 2002); doi: 10.1117/12.453588
Show Author Affiliations
Daniel M. Topa, WaveFront Sciences, Inc. (United States)
James K. Gruetzner, WaveFront Sciences, Inc. (United States)


Published in SPIE Proceedings Vol. 4794:
Vision Geometry XI
Longin Jan Latecki; David M. Mount; Angela Y. Wu, Editor(s)

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