Regularization methods for processing fringe-pattern images

Citation
Jl. Marroquin et al., Regularization methods for processing fringe-pattern images, APPL OPTICS, 38(5), 1999, pp. 788-794
Citations number
13
Categorie Soggetti
Apllied Physucs/Condensed Matter/Materiales Science","Optics & Acoustics
Journal title
APPLIED OPTICS
ISSN journal
00036935 → ACNP
Volume
38
Issue
5
Year of publication
1999
Pages
788 - 794
Database
ISI
SICI code
0003-6935(19990210)38:5<788:RMFPFI>2.0.ZU;2-1
Abstract
A powerful technique for processing fringe-pattern images is based on Bayes ian estimation theory with prior Markov random-field models. In this approa ch the solution of a processing problem is characterized as the minimizer o f a cost function with terms that specify that the solution should be compa tible with the available observations and terms that impose certain (prior) constraints on the solution. We show that, by the appropriate choice of th ese terms, one can use this approach in almost every processing step for ac curate and robust interferogram demodulation and phase unwrapping. (C) 1999 Optical Society of America.