Phase evaluation in FTM interferometry using piecewise quadratic function

In the interferometry, the Fourier Transform Method (FTM) is one of the efficient ways for an interferogram evaluation and it can be used in many practical applications. Fourier transform used in the process of phase reconstruction gives an opportunity to eliminate some unwanted phenomena which are carried in the interferogram due to the process of measuring – for example a random noise of the sensor or a variation in the background intensity. Moreover, reconstructed phase can be obtained only from one registered interferogram, thus this method can be simply implemented in a real measurement process. During the FTM interferometry, an interferogram is reconstructed in several steps. Viewed from a mathematical part and a software implementation, the most complicated is a step called unwrapping; discontinuous image – as a result of atan function – is processed and the continuous phase is retrieved. This work presents a modified solution of an interferogram phase reconstruction without using the unwrapping process – the phase is obtained from its gradient using the piecewise quadratic function.

[1]  Cruz Meneses-Fabian,et al.  Pfaff equation and Fourier analysis to phase extraction from an interferogram with carrier frequency , 2011 .

[2]  K Creath,et al.  Extended averaging technique for derivation of error-compensating algorithms in phase-shifting interferometry. , 1995, Applied optics.

[3]  J A Quiroga,et al.  The general theory of phase shifting algorithms. , 2009, Optics express.

[4]  Jiří Novák,et al.  Multi-step phase-shifting algorithms insensitive to linear phase shift errors , 2008 .

[5]  M. Takeda,et al.  Fourier-transform method of fringe-pattern analysis for computer-based topography and interferometry , 1982 .

[6]  Rajpal Singh Sirohi Optical Methods of Measurement , 1999 .

[7]  D. Malacara Optical Shop Testing , 1978 .

[8]  D. Malacara,et al.  Interferogram Analysis for Optical Testing , 2018 .

[9]  Antonin Miks,et al.  Least-squares fitting of wavefront using rational function , 2005 .

[10]  A. Mikš,et al.  Colorimetric method for phase evaluation. , 2006, Journal of the Optical Society of America. A, Optics, image science, and vision.

[11]  Jan Burke,et al.  Invited review article: measurement uncertainty of linear phase-stepping algorithms. , 2011, The Review of scientific instruments.

[12]  Jiri Novak,et al.  Five-step phase-shifting algorithms with unknown values of phase shift , 2003 .

[13]  K. Creath V Phase-Measurement Interferometry Techniques , 1988 .

[14]  Petra Kaufmann,et al.  Two Dimensional Phase Unwrapping Theory Algorithms And Software , 2016 .

[15]  Thomas M. Kreis,et al.  Computer aided evaluation of fringe patterns , 1993 .

[16]  Andrew J. Moore,et al.  Phase demodulation in the space domain without a fringe carrier , 1995 .

[17]  A. Mikš,et al.  Fast and robust computation of Cartesian derivatives of Zernike polynomials , 2014 .

[18]  Cruz Meneses-Fabian,et al.  Solving differential equations for phase retrieval in Fourier‐transform methods , 2010 .

[19]  T. A. A. Broadbent,et al.  Survey of Applicable Mathematics , 1970, Mathematical Gazette.