Phase estimation in digital holographic interferometry using cubic-phase-function based method

The paper introduces a cubic-phase-function based method to estimate interference phase in digital holographic interferometry. The proposed method relies on piecewise polynomial approximation of phase by dividing an arbitrary row/column of the complex reconstructed interference field in many segments and modeling signal data in each segment as a cubic phase signal. The polynomial coefficients in each segment are determined using cubic phase function algorithm. The phase is subsequently evaluated from the polynomial constructed using the obtained polynomial coefficients. The piecewise polynomial approximation approach is extended for all rows/columns and the overall phase is thus determined. The method's applicability is demonstrated using simulation and experimental results.

[1]  Bernard Mulgrew,et al.  Iterative frequency estimation by interpolation on Fourier coefficients , 2005, IEEE Transactions on Signal Processing.

[2]  Gopalakrishna K. Bhat A hybrid fringe analysis technique for the elimination of random noise in interferometric wrapped phase maps , 1994 .

[3]  Francisco Palacios,et al.  Adaptive filter to improve the performance of phase-unwrapping in digital holography , 2004 .

[4]  Werner Jüptner,et al.  Digital recording and numerical reconstruction of holograms , 2002 .

[5]  Cheng Liu Simultaneous measurement of displacement and its spatial derivatives with a digital holographic method , 2003 .

[6]  Jun Ni,et al.  Phase unwrapping for large depth-of-field 3D laser holographic interferometry measurement of laterally discontinuous surfaces , 2006 .

[7]  K A Stetson,et al.  Noise-immune phase unwrapping by use of calculated wrap regions. , 1997, Applied optics.

[8]  R Cusack,et al.  Improved noise-immune phase-unwrapping algorithm. , 1995, Applied optics.

[9]  Sai Siva Gorthi,et al.  Piecewise polynomial phase approximation approach for the analysis of reconstructed interference fields in digital holographic interferometry , 2009 .

[10]  Peter O'Shea,et al.  A fast algorithm for estimating the parameters of a quadratic FM signal , 2004, IEEE Transactions on Signal Processing.

[11]  Sai Siva Gorthi,et al.  Windowed high-order ambiguity function method for fringe analysis. , 2009, The Review of scientific instruments.