RT Journal Article
T1 Fringe pattern denoising by image dimensionality reduction
A1 Quiroga Mellado, Juan Antonio
A1 Vargas Balbuena, Javier
A1 Estrada, Julio César
A1 Carazo García, José María
A1 Sánchez Sorzano, Carlos Óscar
AB 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.
PB Elsevier Sci. Ltd.
SN 0143-8166
YR 2013
FD 2013-07
LK https://hdl.handle.net/20.500.14352/33370
UL https://hdl.handle.net/20.500.14352/33370
LA eng
NO © 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.
NO Spanish Ministry of Economy and Competitiveness
NO Spanish Ministry of Science and Technology
NO Ramón y Cajal Fellowship
NO Juan de la Cierva Grants
DS Docta Complutense
RD 6 abr 2025