Phase reconstruction by phase shift estimation with reliable parameter minimization

Abstract Achieving a balance between accuracy and speed in phase reconstruction is a challenging problem. In phase-shifting interferometry, increasing the speed by reducing the number of phase shifts while maintaining high accuracy is highly desirable. We propose an accurate and efficient two-step phase reconstruction method utilizing random phase shift. This method directly estimates the phase shift through reliable parameter minimization, allowing for easy and precise phase reconstruction. Simulations and experiments demonstrate the superior performance of our method across various scenarios, outperforming well-known two-step phase-shifting algorithms. We expect this paper to provide a general and powerful tool for phase reconstruction.

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Publication Details

Journal
Metrologia
Published
2024-08-05
DOI
https://doi.org/10.1088/1681-7575/ad6b2f
Citations
1
Primary Topic
Optical measurement and interference techniques
Type
article
Field-Weighted Citation Impact
0.25

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article

Phase reconstruction by phase shift estimation with reliable parameter minimization

Bao Liu, Yu Zhang
1 citations
Metrologia
Optical measurement and interference techniques
0.25
article

Phase reconstruction by phase shift estimation with reliable parameter minimization

Bao Liu, Yu Zhang
article en
1 citations

Abstract

Abstract Achieving a balance between accuracy and speed in phase reconstruction is a challenging problem. In phase-shifting interferometry, increasing the speed by reducing the number of phase shifts while maintaining high accuracy is highly desirable. We propose an accurate and efficient two-step phase reconstruction method utilizing random phase shift. This method directly estimates the phase shift through reliable parameter minimization, allowing for easy and precise phase reconstruction. Simulations and experiments demonstrate the superior performance of our method across various scenarios, outperforming well-known two-step phase-shifting algorithms. We expect this paper to provide a general and powerful tool for phase reconstruction.

MetrologiaVol. 61(5)
Electric Power University (VN), Northeast Electric Power University (CN), Changchun Institute of Optics, Fine Mechanics and Physics (CN)
Jilin Scientific and Technological Development Program
Sustainable cities and communities
Openalex Percentile: Top 49%
Optical measurement and interference techniques
0.25
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Phase reconstruction by phase shift estimation with reliable parameter minimization — Bao Liu, Yu Zhang · Metrologia (2024) | TGRS Research Map | TGRS