Development of point diffraction interferometer by a dimension-reduction-based phase-shifting algorithm

To avoid exhaustive calibration of the shifter device in point diffraction interferometers, we present a dimension-reduction-based method to reconstruct the phase map from more phase-shifting fringe patterns with three or more frames. The proposed method assumes that the intensity space can be described adequately by the sine and cosine of multiple phase shifts introduced, which are the basis of the intensity space. Then, low-dimensional approximations of high-dimensional intensity spaces are determined by the newly developed reduced basis decomposition technique. Finally, the phase is reconstructed using the low-dimensional surrogates of the intensity spaces without the knowledge of accurate phase steps. Numerical and experimental studies demonstrated that the proposed method outperforms the existing popular phase reconstruction techniques in terms of accuracy and efficiency. Moreover, the performance of the proposed method is not limited by variations in the background and modulation, unlike the existing phase-shifting-algorithm-based approaches.

[1]  Dong Liu,et al.  Universal phase reconstruction approach of self-calibrating phase-shifting interferometry. , 2019, Optics letters.

[2]  J Vargas,et al.  Phase-shifting interferometry based on principal component analysis. , 2011, Optics letters.

[3]  Rigoberto Juarez-Salazar,et al.  Phase-unwrapping algorithm by a rounding-least-squares approach , 2014 .

[4]  Yanlai Chen,et al.  Reduced basis decomposition: A certified and fast lossy data compression algorithm , 2015, Comput. Math. Appl..

[5]  M. A. Escobar,et al.  Phase-shifting VU factorization for interferometry , 2020 .

[6]  Muniandi Arunraj,et al.  Online action recognition from RGB-D cameras based on reduced basis decomposition , 2018, Journal of Real-Time Image Processing.

[8]  Hangying Zhang,et al.  Two-frame fringe pattern phase demodulation using Gram-Schmidt orthonormalization with least squares method. , 2019, Optics express.

[9]  Rigoberto Juarez-Salazar,et al.  Generalized phase-shifting algorithm for inhomogeneous phase shift and spatio-temporal fringe visibility variation. , 2014, Optics express.

[10]  Weimin Jin,et al.  Phase extraction from randomly phase-shifted interferograms by combining principal component analysis and least squares method. , 2011, Optics express.

[11]  J Antonio Quiroga,et al.  Two-step demodulation based on the Gram-Schmidt orthonormalization method. , 2012, Optics letters.

[13]  Yasuhiro Oikawa,et al.  Simple, flexible, and accurate phase retrieval method for generalized phase-shifting interferometry. , 2017, Journal of the Optical Society of America. A, Optics, image science, and vision.

[14]  Gonzalo Paez,et al.  Fourier spectra for nonuniform phase-shifting algorithms based on principal component analysis. , 2019, Optics express.

[15]  Rongguang Liang,et al.  Accurate and fast two-step phase shifting algorithm based on principle component analysis and Lissajous ellipse fitting with random phase shift and no pre-filtering. , 2019, Optics express.