Improved method for phase wraps reduction in profilometry

TL;DR

This paper introduces an improved method for reducing phase wraps in 2D wrapped phase maps in profilometry, utilizing high-resolution carrier frequency determination and spatial domain frequency shifting to enhance accuracy and efficiency.

Contribution

The proposed method allows non-integer spectrum shifts and reduces computation time compared to previous Fourier-based approaches.

Findings

Effective phase wraps reduction demonstrated in experiments

Method achieves higher accuracy with non-integer shifts

Reduced processing time compared to traditional Fourier methods

Abstract

In order to completely eliminate, or greatly reduce the number of phase wraps in 2D wrapped phase map, Gdeisat et al. proposed an algorithm, which uses shifting the spectrum towards the origin. But the spectrum can be shifted only by an integer number, meaning that the phase wraps reduction is often not optimal. In addition, Gdeisat's method will take much time to make the Fourier transform, inverse Fourier transform, select and shift the spectral components. In view of the above problems, we proposed an improved method for phase wraps elimination or reduction. First, the wrapped phase map is padded with zeros, the carrier frequency of the projected fringe is determined by high resolution, which can be used as the moving distance of the spectrum. And then realize frequency shift in spatial domain. So it not only can enable the spectrum to be shifted by a rational number when the carrier frequency is not an integer number, but also reduce the execution time. Finally, the experimental results demonstrated that the proposed method is feasible.