Literature DB >> 25969308

Advanced principal component analysis method for phase reconstruction.

Jian Deng, Kai Wang, Dan Wu, Xiaoxu Lv, Chen Li, Junjie Hao, Jing Qin, Wei Chen.   

Abstract

Focus on the phase reconstruction from three phase-shifting interferograms with unknown phase shifts, an advanced principal component analysis method is proposed. First, use a simple subtraction operation among interferograms, two intensity difference images are obtained easily. Second, set the center region of the data of intensity difference images to zero, and then construct a covariance matrix to obtain a transformation matrix. Third, two principal components of interferograms can be determined by the Hotelling transform and then phase can be calculated from the two normalized principal components by an arctangent function. By means of the simulation calculation and the experimental research, it is proved that the phase with high precision can be obtained rapidly by the proposed algorithm.

Year:  2015        PMID: 25969308     DOI: 10.1364/OE.23.012222

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  2 in total

1.  Random two-frame interferometry based on deep learning.

Authors:  Ziqiang Li; Xinyang Li; Rongguang Liang
Journal:  Opt Express       Date:  2020-08-17       Impact factor: 3.894

2.  Precise phase retrieval under harsh conditions by constructing new connected interferograms.

Authors:  Jian Deng; Dan Wu; Kai Wang; Javier Vargas
Journal:  Sci Rep       Date:  2016-04-14       Impact factor: 4.379

  2 in total

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