Results 141 to 150 of about 1,758 (166)

Roadmap on computational methods in optical imaging and holography [invited]. [PDF]

Appl Phys B
Rosen J, Alford S, Allan B, Anand V, Arnon S, Arockiaraj FG, Art J, Bai B, Balasubramaniam GM, Birnbaum T, Bisht NS, Blinder D, Cao L, Chen Q, Chen Z, Dubey V, Egiazarian K, Ercan M, Forbes A, Gopakumar G, Gao Y, Gigan S, Gocłowski P, Gopinath S, Greenbaum A, Horisaki R, Ierodiaconou D, Juodkazis S, Karmakar T, Katkovnik V, Khonina SN, Kner P, Kravets V, Kumar R, Lai Y, Li C, Li J, Li S, Li Y, Liang J, Manavalan G, Mandal AC, Manisha M, Mann C, Marzejon MJ, Moodley C, Morikawa J, Muniraj I, Narbutis D, Ng SH, Nothlawala F, Oh J, Ozcan A, Park Y, Porfirev AP, Potcoava M, Prabhakar S, Pu J, Rai MR, Rogalski M, Ryu M, Choudhary S, Salla GR, Schelkens P, Şener SF, Shevkunov I, Shimobaba T, Singh RK, Singh RP, Stern A, Sun J, Zhou S, Zuo C, Zurawski Z, Tahara T, Tiwari V, Trusiak M, Vinu RV, Volotovskiy SG, Yılmaz H, De Aguiar HB, Ahluwalia BS, Ahmad A.   +82 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

PU-M-Net for phase unwrapping with speckle reduction and structure protection in ESPI

Optics and Lasers in Engineering, 2022
Abstract In this paper, we propose a deep nonlinear CNN model, named as PU-M-Net for phase unwrapping with speckle reduction and structure protection in ESPI. Our PU-M-Net consists of four pathways in “M” shape, and merges them by abundant skip connections.
Min Xu, Chen Tang, Yuxin Shen, Nian Hong, Zhenkun Lei   +4 more
openaire   +1 more source

PU-GAN: A One-Step 2-D InSAR Phase Unwrapping Based on Conditional Generative Adversarial Network

IEEE Transactions on Geoscience and Remote Sensing, 2022
Two-dimensional phase unwrapping (PU) is a classical ill-posed problem in synthetic aperture radar interferometry (InSAR). The traditional algorithmic model-based 2-D PU methods are limited by the Itoh condition, which is from the PU researchers' experience and has critical challenges under strong phase noises or violent phase changes.
Lifan Zhou, Hanwen Yu, Vito Pascazio, Mengdao Xing   +3 more
openaire   +1 more source

ViT-PU-Net: Volumetric Phase Unwrapping for MR images based on Vision Transformer

ISMRM Annual Meeting, 2023
MR phase information has been used in many MRI applications, recently, so it is very important to estimate the correct MR phase. Since the MR phase is encoded in complex exponential, the actual phase information obtained is in the form of a wrapped signal.
Soohyun Jeon, Kanghyun Ryu, Dong-Hyun Kim   +2 more
openaire   +1 more source

MoDL-PU: Model-Based Deep Learning for InSAR Phase Unwrapping

IEEE Transactions on Geoscience and Remote Sensing
Lifan Zhou, Hanwen Yu
openaire   +1 more source

A comparative study on temporal phase unwrapping methods in high-speed fringe projection profilometry

Optics and Lasers in Engineering, 2021
Kemao Qian
exaly  

SLBL-PU: Shadow-Based Layer-By-Layer Phase Unwrapping for Efficient 3D Measurement

IEEE Transactions on Computational Imaging
Ruiming Yu, Hongshan Yu, Haiqiang Xu, Wei Sun, Naveed Akhtar, Yaonan Wang   +5 more
openaire   +1 more source

Temporal phase unwrapping algorithms for fringe projection profilometry: A comparative review

Optics and Lasers in Engineering, 2016
Chao Zuo, Lei Huang, Qian Chen
exaly  

Reliability-guided phase unwrapping algorithm: a review

Optics and Lasers in Engineering, 2004
Wenjing Chen
exaly  

Fast two-dimensional phase-unwrapping algorithm based on sorting by reliability following a noncontinuous path

Applied Optics, 2002
David R Burton
exaly