[HTML][HTML] Deep learning in optical metrology: a review
With the advances in scientific foundations and technological implementations, optical
metrology has become versatile problem-solving backbones in manufacturing, fundamental …
metrology has become versatile problem-solving backbones in manufacturing, fundamental …
On the use of deep learning for phase recovery
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 …
measurements. As exemplified from quantitative phase imaging and coherent diffraction …
Multimodal super-resolution reconstruction of infrared and visible images via deep learning
In this paper, we propose a deep-learning-based infrared-visible images fusion method
based on encoder-decoder architecture. The image fusion task is reformulated as a problem …
based on encoder-decoder architecture. The image fusion task is reformulated as a problem …
Uniaxial MEMS-based 3D reconstruction using pixel refinement
M Han, F Lei, W Shi, S Lu, X Li - Optics Express, 2022 - opg.optica.org
A uniaxial micro-electro-mechanical systems (MEMS) micro-vibration mirror can be used to
construct a new type of fringe projection profilometry (FPP) system. In FPP system …
construct a new type of fringe projection profilometry (FPP) system. In FPP system …
Composite fringe projection deep learning profilometry for single-shot absolute 3D shape measurement
Single-shot fringe projection profilometry (FPP) is essential for retrieving the absolute depth
information of the objects in high-speed dynamic scenes. High-precision 3D reconstruction …
information of the objects in high-speed dynamic scenes. High-precision 3D reconstruction …
Bayesian-neural-network-based strain estimation approach for optical coherence elastography
Y Bai, K Zhang, R Mo, Z Ni, Z He, S ** framework using deep learning
Temporal phase unwrap** (TPU) is significant for recovering an unambiguous phase of
discontinuous surfaces or spatially isolated objects in fringe projection profilometry …
discontinuous surfaces or spatially isolated objects in fringe projection profilometry …
Analysis of the wavefront aberrations based on neural networks processing of the interferograms with a conical reference beam
Recently, intelligent data analysis and neural networks are increasingly used to detect the
wavefront by interferograms and digital holograms. In this case, there is significant freedom …
wavefront by interferograms and digital holograms. In this case, there is significant freedom …
Nonlinear high-order harmonics correction for phase measuring profilometry
Y Wang, H Xu, H Zhu, Y Rao, Y Wang - Optics & Laser Technology, 2024 - Elsevier
Gamma nonlinearity severely affects the accuracy of phase measuring profilometry (PMP).
Through averaging two phase maps with inverse errors, conventional methods including …
Through averaging two phase maps with inverse errors, conventional methods including …