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Multiple phase extraction using graphics processing unit assisted unitary transformation method in digital

Jagadesh Ramaiah, Rajshekhar Gannavarpu

|October 18, 2022

Summary

This summary is machine-generated.

This study introduces a robust method for estimating multiple phase maps from moiré fringe signals using digital holographic interferometry. The technique enhances computational efficiency and single-shot capabilities, proving effective in simulations and experiments.

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Area of Science:

Optics and Photonics
Digital Holography
Interferometry

Background:

Moiré fringe analysis is crucial for phase measurement.
Digital holographic interferometry (DHI) offers advanced metrology capabilities.
Estimating multiple phase maps efficiently and robustly remains a challenge.

Purpose of the Study:

To develop a novel method for estimating multiple phase maps from DHI-generated moiré fringe signals.
To enhance the robustness of phase map estimation against noise.
To enable single-shot acquisition of multiple phase maps without spectral filtering.

Main Methods:

A unitary transformation-based signal subspace approach is employed.
High-performance computing using a graphics processing unit (GPU) is utilized for efficiency.
The method processes moiré fringe signals from DHI.

Main Results:

The proposed method demonstrates high robustness against noise.
Multiple phase maps can be estimated in a single shot.
Computational efficiency is significantly improved through GPU implementation.
Simulation and experimental results validate the method's practical utility.

Conclusions:

The developed method provides an efficient and robust solution for multi-phase map estimation in DHI.
It overcomes limitations of traditional methods by enabling single-shot acquisition.
The GPU acceleration makes it suitable for real-time applications.