Denoising and extracting background from fringe patterns using midpoint-based bidimensional empirical mode decomposition

Maciej Wielgus , Krzysztof Patorski


We propose a 2D generalization to the midpoint-based empirical mode decomposition algorithm (MBEMD). Unlike with the regular bidimensional empirical mode decomposition algorithm (BEMD), we do not interpolate the upper and lower envelopes, but rather directly find the mean envelope, utilizing well defined points between two extrema of different kind (midpoints). This approach has several advantages such as improved spectral selectivity and better time performance over the regular BEMD process. The MBEMD algorithm is then applied to the task of the interferometric fringe pattern analysis, to identify its distinct components. This allows to separate the oscillatory pattern component, which is of interest, from the background, noise and possibly other spurious interferometric patterns. In result, the phase demodulation error is reduced. Flexibility of the adaptive method allows for processing correlation fringe patterns met in the digital speckle pattern interferometry as well as the regular interferometric fringe patterns without any special tuning of the algorithm.
Author Maciej Wielgus (FM / IMPh)
Maciej Wielgus,,
- The Institute of Micromechanics and Photonics
, Krzysztof Patorski (FM / IMPh)
Krzysztof Patorski,,
- The Institute of Micromechanics and Photonics
Pages90660K1 - 90660K9
Publication size in sheets0.3
Book Oleg Vyacheslavovich Angelsky (eds.): Eleventh International Conference on Correlation Optics, 2013, ISBN 9780819499936
Keywords in Polishdwuwymiarowe uogólnienie algorytmu midpoint bsed EMD
Languageen angielski
Score (nominal)15
Score sourceconferenceIndex
ScoreMinisterial score = 10.0, 01-01-2020, BookChapterMatConfByIndicator
Ministerial score (2013-2016) = 15.0, 01-01-2020, BookChapterMatConfByIndicator
Publication indicators WoS Citations = 0
Citation count*
Share Share

Get link to the record

* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
Are you sure?