Two-step random phase retrieval approach based on Gram-Schmidt orthonormalization and Lissajous ellipse fitting method
Publisher
OPTICAL SOC AMERCitation
Yu Zhang, Xiaobo Tian, and Rongguang Liang, "Two-step random phase retrieval approach based on Gram-Schmidt orthonormalization and Lissajous ellipse fitting method," Opt. Express 27, 2575-2588 (2019)Journal
OPTICS EXPRESSRights
© 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
To overcome the phase shift error in phase shifting interferometry. a two-step random phase retrieval approach based on Gram-Schmidt (GS) orthonormalization and Lissajous ellipse fitting (LEF) method (GS&LEF) is proposed. It doesn't need pre-filtering, and can obtain relatively accurate phase distribution with only two phase shifted interferograms and less computational time. It is suitable for different background intensity. modulation amplitude distributions and noises. Last but not least this method is effective for circular, straight or complex fringes. The simulations and experiments verify the correctness and feasibility of GS&LEF. (C) 2019 Optical Society of America under the terms of the OSA Open Access Publishing AgreementNote
Open access journal.ISSN
1094-4087PubMed ID
30732293Version
Final published versionSponsors
National Natural Science Foundation of China (NSFC) [11304034]; Program of China Scholarship Council [201508220104]; Program of Jilin Provincial Educational Department [2015241]; State Key Laboratory of Applied Optics; Doctoral Research Foundation of Northeast Electric Power University [BSJXM-201218]; Scientific Basic Research Foundation of Northeast Electric Power UniversityAdditional Links
https://www.osapublishing.org/oe/abstract.cfm?uri=oe-27-3-2575ae974a485f413a2113503eed53cd6c53
10.1364/OE.27.002575
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