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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 38, Iss. 23 — Aug. 10, 1999
  • pp: 4997–5003

Reconstruction of surfaces from phase-shifting speckle interferometry: Bayesian approach

Elke Berger, Wolfgang von der Linden, Volker Dose, Martin Jakobi, and Alexander W. Koch  »View Author Affiliations


Applied Optics, Vol. 38, Issue 23, pp. 4997-5003 (1999)
http://dx.doi.org/10.1364/AO.38.004997


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Abstract

The reconstruction of surfaces from speckle interferometry data is a demanding data-analysis task that involves edge detection, edge completion, and image reconstruction from noisy data. We present an approach that makes optimal use of the experimental information to minimize the hampering influence of the noise. The experimental data are then analyzed with a combination of wavelet transform and Bayesian probability theory. Nontrivial examples are presented to illustrate the proposed technique.

© 1999 Optical Society of America

OCIS Codes
(100.6890) Image processing : Three-dimensional image processing
(100.7410) Image processing : Wavelets
(120.6160) Instrumentation, measurement, and metrology : Speckle interferometry

History
Original Manuscript: December 14, 1998
Revised Manuscript: April 13, 1999
Published: August 10, 1999

Citation
Elke Berger, Wolfgang von der Linden, Volker Dose, Martin Jakobi, and Alexander W. Koch, "Reconstruction of surfaces from phase-shifting speckle interferometry: Bayesian approach," Appl. Opt. 38, 4997-5003 (1999)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-38-23-4997

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