Phase extraction from arbitrary phase-shifted fringe patterns with noise suppression

被引:33
作者
Kemao, Qian [1 ]
Wang, Haixia [1 ]
Gao, Wenjing [1 ]
Feng, Lin [1 ]
Soon, Seah Hock [1 ]
机构
[1] Nanyang Technol Univ, Sch Comp Engn, Singapore 639798, Singapore
关键词
Phase-shifting interferometry; Advanced iterative algorithm; Windowed Fourier transform; Least squares fitting; Noise suppression; WINDOWED FOURIER-TRANSFORM; ITERATIVE ALGORITHM;
D O I
10.1016/j.optlaseng.2010.01.009
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Extracting phase distribution from arbitrary phase-shifted fringe patterns, if possible, is very useful in phase-shifting interferometry. The advanced iterative algorithm (AIA) is introduced and the windowed Fourier ridges and least squares fitting (WFRLSF) is proposed. Both algorithms are sensitive to noise, which limits their applications to almost perfect fringe patterns. The windowed Fourier filtering (WFF) algorithm is proposed for both pre-filtering and post-filtering to suppress the noise. Simulation results show that with the effective noise suppression, the phase error is reduced to less than 0.1 rad. Experimental examples are also given for verification. The almost identical results produced by the AIA and the WFRLSF suggest that both algorithms can be used for phase extraction with cross-validation. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:684 / 689
页数:6
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