AI Article Synopsis

  • The paper talks about new algorithms called phase-shifting algorithms (PSAs) that help fix problems in a type of measurement technique called phase-shifting interferometry.
  • These problems, known as ripple distortions and spurious pistons, happen when the algorithms assume the phase shifts are uniform, but they aren't.
  • The authors suggest using a mathematical model to better handle these non-uniform phase shifts and provide four formulas for the new algorithms, backed up by computer simulations.

Article Abstract

In this paper, we present new phase-shifting algorithms (PSAs) that suppress the ripple distortions and spurious pistons in phase-shifting interferometry. These phase errors arise when non-uniform phase-shifting interferograms are processed with PSAs that assume uniform phase shifts. By modeling the non-uniform phase shifts as a polynomial of the unperturbed phase-shift value $\omega_0$ω, we show that the conditions for eliminating the ripple distortion and the spurious piston are associated with the $m$mth derivative of the PSA's frequency transfer function (FTF). Thus, we propose an approach to design robust algorithms based on the FTF formalism and we present four ready-to-apply PSAs formulas. Finally, our conclusions are supported by computer simulations.

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Source
http://dx.doi.org/10.1364/JOSAA.385986DOI Listing

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