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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 44, Iss. 14 — May. 10, 2005
  • pp: 2728–2735

Local denoising of digital speckle pattern interferometry fringes by multiplicative correlation and weighted smoothing splines

Alejandro Federico and Guillermo H. Kaufmann  »View Author Affiliations


Applied Optics, Vol. 44, Issue 14, pp. 2728-2735 (2005)
http://dx.doi.org/10.1364/AO.44.002728


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Abstract

We evaluate the use of smoothing splines with a weighted roughness measure for local denoising of the correlation fringes produced in digital speckle pattern interferometry. In particular, we also evaluate the performance of the multiplicative correlation operation between two speckle patterns that is proposed as an alternative procedure to generate the correlation fringes. It is shown that the application of a normalization algorithm to the smoothed correlation fringes reduces the excessive bias generated in the previous filtering stage. The evaluation is carried out by use of computer-simulated fringes that are generated for different average speckle sizes and intensities of the reference beam, including decorrelation effects. A comparison with filtering methods based on the continuous wavelet transform is also presented. Finally, the performance of the smoothing method in processing experimental data is illustrated.

© 2005 Optical Society of America

OCIS Codes
(100.2980) Image processing : Image enhancement
(120.2650) Instrumentation, measurement, and metrology : Fringe analysis
(120.6160) Instrumentation, measurement, and metrology : Speckle interferometry

History
Original Manuscript: September 2, 2004
Revised Manuscript: November 10, 2004
Manuscript Accepted: December 14, 2004
Published: May 10, 2005

Citation
Alejandro Federico and Guillermo H. Kaufmann, "Local denoising of digital speckle pattern interferometry fringes by multiplicative correlation and weighted smoothing splines," Appl. Opt. 44, 2728-2735 (2005)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-44-14-2728

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