Fourier-Bessel series expansion-based fringe pattern denoising and inpainting

Rishikesh Kulkarni

doi:10.1117/12.3014778

18 June 2024 Fourier-Bessel series expansion-based fringe pattern denoising and inpainting

Rishikesh Kulkarni

Proceedings Volume 12997, Optics and Photonics for Advanced Dimensional Metrology III; 129971P (2024) https://doi.org/10.1117/12.3014778
Event: SPIE Photonics Europe, 2024, Strasbourg, France

Conference Poster

Abstract

The fringe pattern denoising and inpainting operations are crucial for the accurate phase retrieval in the phase-based optical measurement techniques. In this work, a Fourier-Bessel series expansion (FBSE)-based algorithm is proposed for the fringe pattern denoising and inpainting. The FBSE provides a compact representation of wide-band fringe pattern for the effective fringe signal denoising. The Bessel functions are used for the accurate reconstruction of non-stationary fringe signal even in the events of loss of fringe data at some object points. A comparative study between the FBSE, windowed Fourier filtering and partial differential equation-based methods is presented for the fringe pattern denoising. The simulation and experimental results indicate the suitability of the proposed method in practical applications.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Rishikesh Kulkarni "Fourier-Bessel series expansion-based fringe pattern denoising and inpainting", Proc. SPIE 12997, Optics and Photonics for Advanced Dimensional Metrology III, 129971P (18 June 2024); https://doi.org/10.1117/12.3014778

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