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Fast and robust two-frame random phase-shifting interferometry without pre-filtering
DOI:10.1364/OE.462023.png)
摘要
En 中文
To obtain higher phase accuracy with less computation time in phase-shifting interferometry, a random phase-shifting algorithm based on principal component analysis and least squares iteration (PCA&LSI) is proposed. The algorithm does not require pre-filtering, and only requires two-frame phase-shifted interferograms and less computation time to obtain a relatively accurate phase distribution. This method can still extract the phase with high precision when there are few fringes in the interferogram. Moreover, it eliminates the limitation that the PCA algorithm needs more than three frames of interferograms with uniform phase shift distribution to accurately extract the phase. Numerical simulations and experiments confirm that the method is suitable for complex situations with different fluctuations in background intensity and modulation amplitude. And it can still achieve accurate phase extraction compared with other methods under different noise conditions. (C) 2022 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement
Keyword:
GRAM-SCHMIDT ORTHONORMALIZATION
PRINCIPAL COMPONENT ANALYSIS
FRINGE PATTERN PHASE
DEMODULATION
ALGORITHM
RETRIEVAL
EXTRACTION
RECONSTRUCTION
ACCURATE
期刊
IF:
3.3
论文数:
6.1W
被引数:
14.3W
机构
引用论文
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Two-frame fringe pattern phase demodulation using Gram-Schmidt orthonormalization with least squares method
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