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Proceedings Paper

Comparative analysis of the interferogram noise filtration using wavelet transform and spin filtering algorithms
Author(s): B. Zielinski; K. Patorski
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Paper Abstract

The aim of this paper is to analyze the accuracy of 2D fringe pattern denoising performed by two chosen methods using quasi-1D two-arm spin filter and 2D Discrete Wavelet Transform (DWT) signal decomposition and thresholding. The ultimate aim of this comparison is to estimate which algorithm is better suited for high-accuracy interferometric measurements. In spite of the fact that both algorithms are designed to minimize possible fringe blur and distortion, the evaluation of errors introduced by each algorithm is essential for proper estimation of their performance.

Paper Details

Date Published: 20 November 2008
PDF: 9 pages
Proc. SPIE 7141, 16th Polish-Slovak-Czech Optical Conference on Wave and Quantum Aspects of Contemporary Optics, 71410T (20 November 2008); doi: 10.1117/12.822374
Show Author Affiliations
B. Zielinski, Warsaw Univ. of Technology (Poland)
K. Patorski, Warsaw Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 7141:
16th Polish-Slovak-Czech Optical Conference on Wave and Quantum Aspects of Contemporary Optics
Agnieszka Popiolek-Masajada; Elzbieta Jankowska; Waclaw Urbanczyk, Editor(s)

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