TY - JOUR
T1 - Two-step phase-shifting algorithms with background removal and no background removal
AU - Zhang, Yu
AU - Liu, Bao
AU - Liang, Rongguang
N1 - Funding Information:
This work was supported by the National Natural Science Foundation of China (grant number 61905039 ) and Science and Technology Research Project of Jilin Provincial Education Department (grant number JJKH20220093KJ ).
Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2023/2
Y1 - 2023/2
N2 - To balance the accuracy and speed of phase reconstruction, two-step phase-shifting algorithms (TS-PSAs) have been developed. TS-PSAs can be divided into two types, one is TS-PSAs with background removal (TS-PSAs-BR), and the other is TS-PSAs with no background removal (TS-PSAs-NBR). We select 6 well-reputed TS-PSAs-BR and 4 TS-PSAs-NBR proposed by the authors of this paper for performance comparison. In order to remove the background, the Hilbert-Huang Transform (HHT) and mean intensity subtraction are used respectively. We compare 10 TS-PSAs with different fringe types, different levels of noise, different phase shifts, different fringe numbers and computational time in the simulations, and the experiments are also performed to compare them. Finally, we rank TS-PSAs according to their comparative results, and Euclidean matrix norm of sum and difference map and fast least-squares algorithm (EMNSD&FLSA) provides the best overall performance, it can achieve high accuracy and high efficiency.
AB - To balance the accuracy and speed of phase reconstruction, two-step phase-shifting algorithms (TS-PSAs) have been developed. TS-PSAs can be divided into two types, one is TS-PSAs with background removal (TS-PSAs-BR), and the other is TS-PSAs with no background removal (TS-PSAs-NBR). We select 6 well-reputed TS-PSAs-BR and 4 TS-PSAs-NBR proposed by the authors of this paper for performance comparison. In order to remove the background, the Hilbert-Huang Transform (HHT) and mean intensity subtraction are used respectively. We compare 10 TS-PSAs with different fringe types, different levels of noise, different phase shifts, different fringe numbers and computational time in the simulations, and the experiments are also performed to compare them. Finally, we rank TS-PSAs according to their comparative results, and Euclidean matrix norm of sum and difference map and fast least-squares algorithm (EMNSD&FLSA) provides the best overall performance, it can achieve high accuracy and high efficiency.
KW - Accuracy
KW - Background removal
KW - Phase shift
KW - Two-step phase-shifting algorithm
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U2 - 10.1016/j.optlaseng.2022.107327
DO - 10.1016/j.optlaseng.2022.107327
M3 - Review article
AN - SCOPUS:85140136084
SN - 0143-8166
VL - 161
JO - Optics and Lasers in Engineering
JF - Optics and Lasers in Engineering
M1 - 107327
ER -