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Multivariate empirical mode decomposition approach for adaptive denoising of fringe patterns
2012
Optics Letters
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
doi:10.1364/ol.37.001904
pmid:22660068
fatcat:jwm7wsgq25czdlhzwwvzdk52iu