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Multivariate empirical mode decomposition approach for adaptive denoising of fringe patterns |
Optics Letters, Vol. 37, Issue 11, pp. 1904-1906 (2012)
http://dx.doi.org/10.1364/OL.37.001904
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Abstract
An adaptive approach is presented for noise reduction of optical fringe patterns using multivariate empirical mode decomposition. Adjacent rows and columns of patterns are treated as multichannel signals and are decomposed into multiscale components. Fringe patterns are reconstructed with less noise by simply thresholding coefficients in different scales. The proposed approach can better concentrate local main components of fringe signals into single scale, compared with the conventional multiscale denoising method. A simulated pattern and an actual example are examined. Signal-to-noise ratio (SNR) of the simulated pattern is more than doubled.
© 2012 Optical Society of America
OCIS Codes
(100.2650) Image processing : Fringe analysis
(120.2650) Instrumentation, measurement, and metrology : Fringe analysis
ToC Category:
Image Processing
History
Original Manuscript: February 14, 2012
Revised Manuscript: March 27, 2012
Manuscript Accepted: April 10, 2012
Published: May 23, 2012
Citation
Xiang Zhou, Tao Yang, Haihua Zou, and Hong Zhao, "Multivariate empirical mode decomposition approach for adaptive denoising of fringe patterns," Opt. Lett. 37, 1904-1906 (2012)
http://www.opticsinfobase.org/ol/abstract.cfm?URI=ol-37-11-1904
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