Robust three-frame coefficient-tuning iterative algorithm for accurate phase retrieval with random phase shifts

• A three-frame random phase retrieval method based on the coefficient-tuning iterative algorithm is proposed. • The method is computationally efficient with high phase retrieval accuracy. • The accuracy is not constrained by the shape or number of fringes. • The method has lower sensitivity to fluctuations in the background intensity and modulation. Random phase-shifting algorithm is widely used in phase-shifting interferometry (PSI) to recover phase distributions under unknown phase shifts. However, the applicability of existing algorithms is constrained by various preconditions such as ideal background illumination, sufficient image acquisition volume, and adequate fringes in interferograms. This paper proposes a three-frame random phase retrieval method based on the coefficient-tuning iterative algorithm (CTIA), which is fast, stable and easy to implement. Compared to other existing high-precision phase-shifting algorithms, this method can achieve the accurate phase extraction from interferograms with background intensity and modulation fluctuations, and its accuracy is not constrained by the shape or number of fringes. Simulations and experiments both verify that the proposed algorithm provides an accurate and robust phase reconstruction tool for random three-frame PSI used in laser interferometric topography and roughness measurements.

Authors

Institutions

Publication Details

Journal
Optics and Lasers in Engineering
Published
2026-03-26
DOI
https://doi.org/10.1016/j.optlaseng.2026.109752
Primary Topic
Optical measurement and interference techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Robust three-frame coefficient-tuning iterative algorithm for accurate phase retrieval with random phase shifts

Yihong Huang, Jiaqi Hu, Yuanyang Yao, Tao Liu et al.
Optics and Lasers in Engineering
Optical measurement and interference techniques
article

Robust three-frame coefficient-tuning iterative algorithm for accurate phase retrieval with random phase shifts

Yihong Huang, Jiaqi Hu, Yuanyang Yao, Tao Liu, Jiaqi Ye, Guoyong Ye, Yurang Liu, Wenze Wang
article en

Abstract

• A three-frame random phase retrieval method based on the coefficient-tuning iterative algorithm is proposed. • The method is computationally efficient with high phase retrieval accuracy. • The accuracy is not constrained by the shape or number of fringes. • The method has lower sensitivity to fluctuations in the background intensity and modulation. Random phase-shifting algorithm is widely used in phase-shifting interferometry (PSI) to recover phase distributions under unknown phase shifts. However, the applicability of existing algorithms is constrained by various preconditions such as ideal background illumination, sufficient image acquisition volume, and adequate fringes in interferograms. This paper proposes a three-frame random phase retrieval method based on the coefficient-tuning iterative algorithm (CTIA), which is fast, stable and easy to implement. Compared to other existing high-precision phase-shifting algorithms, this method can achieve the accurate phase extraction from interferograms with background intensity and modulation fluctuations, and its accuracy is not constrained by the shape or number of fringes. Simulations and experiments both verify that the proposed algorithm provides an accurate and robust phase reconstruction tool for random three-frame PSI used in laser interferometric topography and roughness measurements.

Optics and Lasers in EngineeringVol. 202
Zhengzhou University of Light Industry (CN), Xi'an Jiaotong University (CN)
Openalex Percentile: Top 6%
Optical measurement and interference techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.