Multivariate empirical mode decomposition approach for adaptive denoising of fringe patterns

Xiang Zhou, Tao Yang, Haihua Zou, Hong Zhao
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
more » ... ale denoising method. A simulated pattern and an actual example are examined. Signal-to-noise ratio (SNR) of the simulated pattern is more than doubled.
doi:10.1364/ol.37.001904 pmid:22660068 fatcat:jwm7wsgq25czdlhzwwvzdk52iu