Fringe pattern denoising by image dimensionality reduction

© 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.
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.
Spanish Ministry of Economy and Competitiveness
Spanish Ministry of Science and Technology
Ramón y Cajal Fellowship
Juan de la Cierva Grants
Depto. de Óptica
Fac. de Ciencias Físicas
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