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Proceedings Paper

Local wavefront reconstruction
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: 2 November 2001
PDF: 10 pages
Proc. SPIE 4476, Vision Geometry X, (2 November 2001); doi: 10.1117/12.447276
Show Author Affiliations
Daniel M. Topa, WaveFront Sciences, Inc. (United States)
James K. Gruetzner, WaveFront Sciences, Inc. (United States)


Published in SPIE Proceedings Vol. 4476:
Vision Geometry X
Longin Jan Latecki; David M. Mount; Angela Y. Wu; Robert A. Melter, Editor(s)

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