Fringe pattern denoising by image dimensionality reduction
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2013
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Elsevier Sci. Ltd.
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Abstract
Noise is a key problem in fringe pattern processing, especially in single frame demodulation of interferograms. In this work, we propose to filter the pattern noise using a straightforward, fast and easy to implement denoising method, which is based on a dimensionality reduction approach, in the sense of image rank reduction. The proposed technique has been applied to simulated and experimental ESPI interferograms obtaining satisfactory results.
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© 2013 Elsevier Ltd.
The authors would like to acknowledge economical support from the Spanish Ministry of Economy and Competitiveness through Grants ACI2009-1022, ACI2010-108 and BIO2010-16566, the Spanish Ministry of Science and Technology under Grant DPI2009-09023, and postdoctoral ‘‘Juan de la Cierva’’ grant with reference JCI-2011–10185. C.O.S. Sorzano is recipient of a Ramón y Cajal fellowship.