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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 38, Iss. 5 — Feb. 10, 1999
  • pp: 788–794

Regularization methods for processing fringe-pattern images

José L. Marroquin, Mariano Rivera, Salvador Botello, Ramón Rodriguez-Vera, and Manuel Servin  »View Author Affiliations


Applied Optics, Vol. 38, Issue 5, pp. 788-794 (1999)
http://dx.doi.org/10.1364/AO.38.000788


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Abstract

A powerful technique for processing fringe-pattern images is based on Bayesian estimation theory with prior Markov random-field models. In this approach the solution of a processing problem is characterized as the minimizer of a cost function with terms that specify that the solution should be compatible with the available observations and terms that impose certain (prior) constraints on the solution. We show that, by the appropriate choice of these terms, one can use this approach in almost every processing step for accurate and robust interferogram demodulation and phase unwrapping.

© 1999 Optical Society of America

OCIS Codes
(100.2650) Image processing : Fringe analysis
(100.3190) Image processing : Inverse problems
(100.5070) Image processing : Phase retrieval
(120.3180) Instrumentation, measurement, and metrology : Interferometry

History
Original Manuscript: August 11, 1998
Revised Manuscript: November 9, 1998
Published: February 10, 1999

Citation
José L. Marroquin, Mariano Rivera, Salvador Botello, Ramón Rodriguez-Vera, and Manuel Servin, "Regularization methods for processing fringe-pattern images," Appl. Opt. 38, 788-794 (1999)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-38-5-788


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References

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