Adaptive enhancement of optical fringe patterns by selective reconstruction using FABEMD algorithm and Hilbert spiral transform | Zendy

Maciej Trusiak | Zendy; Krzysztof Patorski | Zendy; Maciek Wielgus | Zendy

Open Access

Adaptive enhancement of optical fringe patterns by selective reconstruction using FABEMD algorithm and Hilbert spiral transform

Author(s) -

Maciej Trusiak,

Krzysztof Patorski,

Maciek Wielgus

Publication year - 2012

Publication title -

optics express

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.394

H-Index - 271

ISSN - 1094-4087

DOI - 10.1364/oe.20.023463

Subject(s) - normalization (sociology) , optics , hilbert–huang transform , demodulation , hilbert transform , robustness (evolution) , phase modulation , algorithm , spatial frequency , computer science , amplitude , image processing , modulation (music) , phase noise , physics , artificial intelligence , spectral density , white noise , image (mathematics) , telecommunications , acoustics , channel (broadcasting) , biochemistry , chemistry , sociology , anthropology , gene

Presented method for fringe pattern enhancement has been designed for processing and analyzing low quality fringe patterns. It uses a modified fast and adaptive bidimensional empirical mode decomposition (FABEMD) for the extraction of bidimensional intrinsic mode functions (BIMFs) from an interferogram. Fringe pattern is then selectively reconstructed (SR) taking the regions of selected BIMFs with high modulation values only. Amplitude demodulation and normalization of the reconstructed image is conducted using the spiral phase Hilbert transform (HS). It has been tested using computer generated interferograms and real data. The performance of the presented SR-FABEMD-HS method is compared with other normalization techniques. Its superiority, potential and robustness to high fringe density variations and the presence of noise, modulation and background illumination defects in analyzed fringe patterns has been corroborated.

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