[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 …
Roadmap on digital holography
This Roadmap article on digital holography provides an overview of a vast array of research
activities in the field of digital holography. The paper consists of a series of 25 sections from …
activities in the field of digital holography. The paper consists of a series of 25 sections from …
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 …
Comparison of three full-field optical measurement techniques applied to vibration analysis
Digital image correlation, deflectometry and digital holography are some of the full-field
optical measurement techniques that have matured in recent years. Their use in …
optical measurement techniques that have matured in recent years. Their use in …
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 …
A denoising framework for 3D and 2D imaging techniques based on photon detection statistics
A method to capture three-dimensional (3D) objects image data under extremely low light
level conditions, also known as Photon Counting Imaging (PCI), was reported. It is …
level conditions, also known as Photon Counting Imaging (PCI), was reported. It is …
Wrapped phase aberration compensation using deep learning in digital holographic microscopy
In digital holographic microscopy (DHM), phase aberration compensation is a general
problem for improving the accuracy of quantitative phase measurement. Current phase …
problem for improving the accuracy of quantitative phase measurement. Current phase …
Speckle denoising based on deep learning via a conditional generative adversarial network in digital holographic interferometry
Q Fang, H **a, Q Song, M Zhang, R Guo… - Optics …, 2022 - opg.optica.org
Speckle denoising can improve digital holographic interferometry phase measurements but
may affect experimental accuracy. A deep-learning-based speckle denoising algorithm is …
may affect experimental accuracy. A deep-learning-based speckle denoising algorithm is …
[HTML][HTML] Towards reduced CNNs for de-noising phase images corrupted with speckle noise
Digital holography is a very efficient technique for 3D imaging and the characterization of
changes at the surfaces of objects. However, during the process of holographic …
changes at the surfaces of objects. However, during the process of holographic …
A Method for Detecting the Vacuum Degree of Vacuum Glass Based on Digital Holography
T Li, Q Song, G He, H **a, H Li, J Gui, H Dang - Sensors, 2023 - mdpi.com
The vacuum degree is the key parameter reflecting the quality and performance of vacuum
glass. This investigation proposed a novel method, based on digital holography, to detect …
glass. This investigation proposed a novel method, based on digital holography, to detect …