1 Institute of Materials Physics, College of Science, Northeast Electric Power University, Jilin 132012, China; 2 State Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130022, China
Abstract An accurate and fast three-step self-calibrating generalized phase-shifting interferomertry (SGPSI) is proposed. In this approach, two new phase-shifting signals are constructed by the difference interferograms normalization and noise suppressing, then the unknown phase shift between the two difference phase-shifting signals is estimated quickly through searching the minimum coefficient of variation of the modulation amplitude, a limited number of pixels are selected to participate in the search process to further save time, and finally the phase is reconstructed through the searched phase shift. Through the reconstruction of phase map by the simulation and experiment, and the comparison with several mature algorithms, the good performance of the proposed algorithm is proved, and it eliminates the limitation of requiring more than three phase-shifting interferograms for high-precision SGPSI. We expect this method to be widely used in the future.
Fund: Project supported by the National Natural Science Foundation of China (Grant No. 61905039), Jilin Sci entific and Technological Development Program, China (Grant No. 20190701018GH), Education Department of Jilin Province, China (Grant No. JJKH20190691KJ), and State Key Laboratory of Applied Optics.
[1] Meneses-Fabian C and Tejeda-Muñoz N 2017 Appl. Opt.56 4278 [2] Malacara D 2007 Optical Shop Testing, 3rd edn (New Jersey:John Wiley & Sons) pp. 568-591 [3] Wang Z 2004 Opt. Lett.29 1671 [4] Xu J, Xu Q and Chai L 2008 Appl. Opt.47 480 [5] Chen Y, Lin P, Lee C and Liang C 2013 Appl. Opt.52 3381 [6] Vargas J, Quiroga J and Belenguer T 2011 Opt. Lett.36 1326 [7] Deng J, Wang K, Wu D, Lv X, Li C, Hao J, Qin J and Chen W 2015 Opt. Express23 12222 [8] Yatabe K, Ishikawa K and Oikawa Y 2016 Opt. Express24 22881 [9] Yatabe K, Ishikawa K and Oikawa Y 2017 J. Opt. Soc. Am. A34 87 [10] Yatabe K, Ishikawa K and Oikawa Y 2017 Opt. Express25 29401 [11] Wang H, Luo C, Zhong L, Ma S and Lu X 2014 Opt. Express22 5147 [12] Deng J, Wu D, Wang K and Vargas J 2016 Sci. Rep.6 24416
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