Fourier normalized-fringe analysis by zero-order spectrum suppression using a parameter estimation approach

Abstract. The simple filtering procedure, high spatial resolution, and low computation time benefits of Fourier normalized-fringe analysis are verified. For this, both the fringe-pattern normalization method by parameter estimation using the least squares method and the standard Fourier transform method are implemented. This proposal, or any Fourier normalized-fringe analysis scheme, has the advantage that the filter’s properties are not very critical because the zero-order spectrum is suppressed by the normalization stage. Then, the simple half-plane filter is applied in the filtering procedure which, in addition, increases the spatial resolution. Both a computer simulation and the experimental results show the functionality and feasibility of the suggested scheme.

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