IGPS: Inhomogeneous generalized phase-shifting1,2
Citation [1] Rigoberto Juarez-Salazar, Carlos Robledo-Sanchez, Fermin Guerrero-Sanchez, and A. Rangel-Huerta, “Generalized phase-shifting algorithm for inhomogeneous phase shift and spatio-temporal fringe visibility variation,” Optics Express, Vol. 22, Issue 4, pp. 4738-4750 (2014).
DOI: https://doi.org/10.1364/OE.22.004738

[2] R. Juarez-Salazar, C. Robledo-Sánchez, C. Meneses-Fabian, F. Guerrero-Sánchez, L. Arevalo Aguilar, “Generalized phase-shifting interferometry by parameter estimation with the least squares method,” Opt. Lasers Eng. Vol. 51, Issue 5, pp. 626-632, (2013).
DOI: https://doi.org/10.1016/j.optlaseng.2012.12.020
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Description

Wrapped phase extraction using multiple phase-shifted fringe patterns, where the phase shifts are unknown functions of space and time [1].

Note-1: The frames to be processed must be normalized; i.e., they must to have the form

bI(p,k) = cos[ phi(p) + delta(p,k) ],

where p = (x,y) represents the coordinates of a pixel in the fringe pattern image.

Note-2: The fringe pattern normalization is performed using the parameter estimation method described in the paper [2].

Note-3: The functionality of the implemented method is based on the idea that the cosine terms are symmetric zero-mean functions. This assumption is satisfied as the number of fringes (open and closed in any combination) increases. In other words, the method's performance is poor when the fringe pattern contains only a few fringes.


Disclaimer

1The provided code can be freely used for academic purposes. However, the references [1] and [2] must be properly cited.

2The provided code is illustrative and should not be used as the final product. The users will employ this code according to their criteria. The author is not responsible for damages or loss of information.