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Variational image decomposition for automatic background and noise removal of fringe patterns |
Optics Letters, Vol. 38, Issue 3, pp. 275-277 (2013)
http://dx.doi.org/10.1364/OL.38.000275
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Abstract
In optical metrology, state of the art algorithms for background and noise removal of fringe patterns are based on space-frequency analysis. In this Letter, an approach based on variational image decomposition is proposed to remove background and noise from a fringe pattern simultaneously. In the proposed method, a fringe image is directly decomposed into three components: a first one containing background, a second one fringes, and a third one noise, which are described in different function spaces and are solved by minimization of the functional. A simple technical process involved in the minimization algorithm improves the convergence performance. The proposed approach is verified with the simulated and experimental fringe patterns.
© 2013 Optical Society of America
OCIS Codes
(120.2650) Instrumentation, measurement, and metrology : Fringe analysis
(120.5050) Instrumentation, measurement, and metrology : Phase measurement
(120.5060) Instrumentation, measurement, and metrology : Phase modulation
ToC Category:
Instrumentation, Measurement, and Metrology
History
Original Manuscript: November 26, 2012
Revised Manuscript: December 17, 2012
Manuscript Accepted: December 17, 2012
Published: January 16, 2013
Citation
Xinjun Zhu, Zhanqing Chen, and Chen Tang, "Variational image decomposition for automatic background and noise removal of fringe patterns," Opt. Lett. 38, 275-277 (2013)
http://www.opticsinfobase.org/ol/abstract.cfm?URI=ol-38-3-275
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