Single-frame fringe pattern analysis using modified variational image decomposition aided by the Hilbert transform for fast full-field quantitative phase imaging
Maria Cywińska , Maciej Trusiak , Vicente Micó , Krzysztof Patorski
AbstractIn this contribution we present a novel one-stop-shop solution providing comprehensive, robust and automatic singleframe fringe pattern analysis for quantitative phase imaging. It is based on the modified variational image decomposition (mVID) algorithm and the Hilbert spiral transform. The VID concept is applied to tailor input data for efficient Hilbert spiral transform (HST). It returns the fringe-signal which is in quadrature to the input VID-filtered zero-mean-value fringe pattern. Both fringe-signals form the 2D complex analytic fringe pattern with phase and amplitude clearly defined by angle and modulus. Additional means for mVID-based compensation of characteristic phase errors are to be provided. The performance of the proposed novel mVID-HST technique is tested on simulated and experimental data. Its versatility and data-driven nature is emphasized processing off-axis, slightly off-axis and on-axis holograms.
|Corporate author||SPIE Digital Library|
|Publication size in sheets||0.3|
|Book||Proceedings of SPIE: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, Proceedings of SPIE: The International Society for Optical Engineering, vol. 10677, 2018, SPIE - The International Society for Optics and Photonics, ISBN 9781510618800, 792 p.|
|Keywords in English||interferometry, fringe analysis, phase measurement, phase retrieval, phase imaging, total variation, Hilbert spiral transform, denoising|
|Score||= 20.0, 17-01-2020, ChapterFromConference|
|Publication indicators||= 4; = 0; : 2018 = 0.394|
|Citation count*||9 (2020-05-25)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.