Comparative analysis of the interferogram noise filtration using wavelet transform and spin filtering algorithms

B. Zielinski; K. Patorski

doi:10.1117/12.822374

20 November 2008 Comparative analysis of the interferogram noise filtration using wavelet transform and spin filtering algorithms

B. Zielinski, K. Patorski

Author Affiliations +

Proceedings Volume 7141, 16th Polish-Slovak-Czech Optical Conference on Wave and Quantum Aspects of Contemporary Optics; 71410T (2008) https://doi.org/10.1117/12.822374
Event: 16th Polish-Slovak-Czech Optical Conference on Wave and Quantum Aspects of Contemporary Optics, 2008, Polanica Zdroj, Poland

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.

Citation Download Citation

B. Zielinski and K. Patorski "Comparative analysis of the interferogram noise filtration using wavelet transform and spin filtering algorithms", Proc. SPIE 7141, 16th Polish-Slovak-Czech Optical Conference on Wave and Quantum Aspects of Contemporary Optics, 71410T (20 November 2008); https://doi.org/10.1117/12.822374

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