Journal
OPTICS LETTERS
Volume 37, Issue 11, Pages 1904-1906Publisher
OPTICAL SOC AMER
DOI: 10.1364/OL.37.001904
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Funding
- National Natural Science Foundation of China [51105301]
- National Basic Research Program [2011CB706805]
- Xian Scientific Research Plan [CXY1007]
- Undergraduate Research Training and Practice
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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 multiscale denoising method. A simulated pattern and an actual example are examined. Signal-to-noise ratio (SNR) of the simulated pattern is more than doubled. (C) 2012 Optical Society of America
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