{"title":"Iteratively correcting algorithm for suppressing temporal variations in phase-shifting interferometry","authors":"Sotero Ordones , Jorge L. Flores , Rong Su","doi":"10.1016/j.optlaseng.2024.108604","DOIUrl":null,"url":null,"abstract":"<div><div>In this paper, we introduce an iterative correcting algorithm for phase demodulation in optical metrology via phase-shifting interferometry. The scheme can effectively cope with interferograms with both temporal intensity variations and non-uniformly spaced phase shifts. When the background intensity and fringe visibility vary only over time while spatially remaining constants, our approach can iteratively estimate and correct them. For each iteration, we propose retrieving the phase shifts and the temporal variations, and then we extract the phase map from the corrected interferograms. We provide the spectral analysis of the method according to the frequency transfer function (FTF) formalism for phase-shifting algorithms. Results show that our scheme can accurately retrieve the phase map where the demodulation errors are unintelligible. Additionally, our method has computational time comparable to state-of-the-art iterative algorithms for non-uniformly phase-shifted interferograms, converging rapidly within ten iterations.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":null,"pages":null},"PeriodicalIF":3.5000,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optics and Lasers in Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0143816624005827","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"OPTICS","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we introduce an iterative correcting algorithm for phase demodulation in optical metrology via phase-shifting interferometry. The scheme can effectively cope with interferograms with both temporal intensity variations and non-uniformly spaced phase shifts. When the background intensity and fringe visibility vary only over time while spatially remaining constants, our approach can iteratively estimate and correct them. For each iteration, we propose retrieving the phase shifts and the temporal variations, and then we extract the phase map from the corrected interferograms. We provide the spectral analysis of the method according to the frequency transfer function (FTF) formalism for phase-shifting algorithms. Results show that our scheme can accurately retrieve the phase map where the demodulation errors are unintelligible. Additionally, our method has computational time comparable to state-of-the-art iterative algorithms for non-uniformly phase-shifted interferograms, converging rapidly within ten iterations.
期刊介绍:
Optics and Lasers in Engineering aims at providing an international forum for the interchange of information on the development of optical techniques and laser technology in engineering. Emphasis is placed on contributions targeted at the practical use of methods and devices, the development and enhancement of solutions and new theoretical concepts for experimental methods.
Optics and Lasers in Engineering reflects the main areas in which optical methods are being used and developed for an engineering environment. Manuscripts should offer clear evidence of novelty and significance. Papers focusing on parameter optimization or computational issues are not suitable. Similarly, papers focussed on an application rather than the optical method fall outside the journal''s scope. The scope of the journal is defined to include the following:
-Optical Metrology-
Optical Methods for 3D visualization and virtual engineering-
Optical Techniques for Microsystems-
Imaging, Microscopy and Adaptive Optics-
Computational Imaging-
Laser methods in manufacturing-
Integrated optical and photonic sensors-
Optics and Photonics in Life Science-
Hyperspectral and spectroscopic methods-
Infrared and Terahertz techniques