4.6 Article

Improving the phase reconstruction accuracy of simultaneous phase-shifted lateral shearing interferometry using a polarization redundant sub-region interpolation method

Journal

OPTICS EXPRESS
Volume 30, Issue 19, Pages 34297-34313

Publisher

Optica Publishing Group
DOI: 10.1364/OE.463534

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Funding

  1. Basic Research [2020-JCJQ-JJ-429, JCKY2020426B009]
  2. Shaanxi Provincial Science and Technology Department [2022JM-345]

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This paper proposes a polarization redundant sub-region interpolation (PRSI) method to solve the problem of low spatial resolution in simultaneous phase-shifted lateral shearing interferometry. By calculating the polarization redundancy error of the synchronous phase shift interferogram, this method can distinguish smooth regions from stripe fringe regions and achieve accurate pixel reconstruction and stripe detail information recovery.
In a simultaneous phase-shifted lateral shearing interferometry, a division of focal plane polarization camera is generally used as the phase-shifting device. However, acquiring simultaneous phase-shift interferograms in a single frame suffers from a lack of spatial resolution, significantly affecting the phase reconstruction accuracy. A polarization redundant sub-region interpolation (PRSI) method is proposed to solve this problem. This interpolation method distinguishes smooth regions from stripe fringe regions by calculating the polarization redundancy error of the synchronous phase shift interferogram. After sub-regional processing, resolution reconstruction is performed in the smoothed area using a fast convolutional bilinear interpolation method. In the streak detail region, the resolution reconstruction is performed based on the strength of the correlation between the orthogonal and non-orthogonal polarization channels crossing the streak region. The PRSI method can quickly reconstruct the lost pixels and accurately recover the stripe detail information. Experiment results show that the proposed interpolation method outperforms the existing dominant methods in terms of visual reconstruction effect and quantitative index of phase reconstruction. (c) 2022 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement

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