On the use of deep learning for phase recovery

K Wang, L Song, C Wang, Z Ren, G Zhao… - Light: Science & …, 2024 - nature.com
Phase recovery (PR) refers to calculating the phase of the light field from its intensity
measurements. As exemplified from quantitative phase imaging and coherent diffraction …

High-speed 3D topography measurement based on fringe projection: a review

Z Wu, Q Zhang - Laser & Optoelectronics Progress, 2023 - researching.cn
High-speed 3D topography measurement technology is important for research and
application in virtual and augmented reality, intelligent manufacturing testing, material …

Phase unwrap** using deep learning in holographic tomography

M Gontarz, V Dutta, M Kujawińska, W Krauze - Optics Express, 2023 - opg.optica.org
Holographic tomography (HT) is a measurement technique that generates phase images,
often containing high noise levels and irregularities. Due to the nature of phase retrieval …

Unifying temporal phase unwrap** framework using deep learning

X Guo, Y Li, J Qian, Y Che, C Zuo, Q Chen, EY Lam… - Optics …, 2023 - opg.optica.org
Temporal phase unwrap** (TPU) is significant for recovering an unambiguous phase of
discontinuous surfaces or spatially isolated objects in fringe projection profilometry …

Two-dimensional phase unwrap** based on U2-Net in complex noise environment

J Chen, Y Kong, D Zhang, Y Fu, S Zhuang - Optics Express, 2023 - opg.optica.org
This paper proposes applying the nested U^ 2-Net to a two-dimensional phase unwrap**
(PU). PU has been a classic well-posed problem since conventional PU methods are always …

Large Dynamic Range and Anti-Fading Phase-Sensitive OTDR Using 2D Phase Unwrap** Via Neural Network

F Peng, X Zheng, Q Miao - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Optical fiber distributed acoustic sensing (DAS) instrument enables distributed acoustic
measurements, garnering significant attention due to its high sensitivity, superior spatial …

Deep learning as a powerful tool in digital photoelasticity: Developments, challenges, and implementation

JC Briñez-de León, H López-Osorio… - Optics and Lasers in …, 2024 - Elsevier
Stress field evaluation, through fringe order maps, has always been of great importance in
various engineering domains, providing essential insights into the mechanical response of …

Unsupervised Deep Unrolling Networks for Phase Unwrap**

Z Chen, Y Quan, H Ji - … of the IEEE/CVF Conference on …, 2024 - openaccess.thecvf.com
Phase unwrap** (PU) is a technique to reconstruct original phase images from their noisy
wrapped counterparts finding many applications in scientific imaging. Although supervised …

Deep learning phase recovery: data-driven, physics-driven, or a combination of both?

K Wang, EY Lam - Advanced Photonics Nexus, 2024 - spiedigitallibrary.org
Phase recovery, calculating the phase of a light wave from its intensity measurements, is
essential for various applications, such as coherent diffraction imaging, adaptive optics, and …

Phase unwrap** based on channel transformer U-Net for single-shot fringe projection profilometry

G Sun, B Li, Z Li, X Wang, P Cai, C Qie - Journal of Optics, 2024 - Springer
Single-shot fringe projection profilometry (FPP) has become a more prevalently adopted
technique for retrieving the absolute phase values of the objects in intelligent manufacturing …