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Two Dimensional Phase Unwrapping Theory Algorithms And Software
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Two-dimensional phase unwrapping algorithms applied to feminist theory crime and social justice theoretical conscience volume 4 dr-caloriez henry and the paper route cafebr chapter 3 what is money mishkin cafebr.Abstract:
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Citations
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Journal ArticleDOI
Quantitative susceptibility mapping (QSM): Decoding MRI data for a tissue magnetic biomarker.
Yi Wang,Tian-Yu Liu +1 more
TL;DR: This paper attempts to summarize the basic physical concepts and essential algorithmic steps in QSM, to describe clinical and technical issues under active development, and to provide references, codes, and testing data for readers interested inQSM.
Journal ArticleDOI
Temporal phase unwrapping algorithms for fringe projection profilometry: A comparative review
TL;DR: The results show that the multi-frequency temporal phase unwrapping provides the best unwrapped reliability, while the multi -wavelength approach is the most susceptible to noise-induced unwrappers errors.
Journal ArticleDOI
High-speed 3D shape measurement with structured light methods: A review
TL;DR: The fundamental principles behind the primary state-of-the-art 3D shape measurement techniques based on structured light methods will be elucidated, experimental results will be presented to demonstrate capabilities and/or limitations for those popular techniques, and perspectives on those remaining challenges to be conquered to make advanced 3Dshape measurement techniques ubiquitous are presented.
Journal ArticleDOI
Quantitative susceptibility mapping: current status and future directions.
E. Mark Haacke,E. Mark Haacke,E. Mark Haacke,Saifeng Liu,Sagar Buch,Weili Zheng,Dongmei Wu,Yongquan Ye +7 more
TL;DR: This review evaluates the entire process of QSM from data acquisition to individual data processing steps and concludes that QSM holds great promise in quantifying iron and becoming a standard clinical tool.
Journal ArticleDOI
Diffraction phase microscopy: principles and applications in materials and life sciences
Basanta Bhaduri,Chris Edwards,Hoa V. Pham,Renjie Zhou,Tan H. Nguyen,Lynford L. Goddard,Gabriel Popescu +6 more
TL;DR: In this article, the authors present a diffraction phase microscopy (DPM) system, which is a common-path quantitative phase imaging (QPI) method that significantly alleviates the noise problem.
References
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Journal ArticleDOI
Deep learning-based optical field screening for robust optical diffraction tomography.
Donghun Ryu,YoungJu Jo,Jihyeong Yoo,Taean Chang,Daewoong Ahn,Young Seo Kim,Geon Kim,Hyun-Seok Min,YongKeun Park +8 more
TL;DR: Deep learning-enabled quality control for holographic data to produce robust and high-throughput optical diffraction tomography (ODT) and envision the proposed network would a powerful lightweight module in the tomographic reconstruction pipeline.
Tunable Optics: Spectral Imaging and Surface Manipulation on Liquid Lenses
TL;DR: In this paper, the authors proposed a model that describes the surface modes appearing on a liquid lens and that predicts the resonance frequencies, which can be used to create aspheric surface shapes on commercially available electrowetting liquid lenses.
Journal ArticleDOI
A Method of Filtering and Unwrapping SAR Interferometric Phase Based on Nonlinear Phase Model
Haifeng Huang,Qingsong Wang +1 more
TL;DR: In this article, a nonlinear phase model was proposed for phase image flltering and phase unwrapping in the InSAR system, which has a higher computation complexity and better phase estimation accuracy in low coherence areas.
Journal ArticleDOI
Geodetic Network Design for InSAR
TL;DR: A generic network design methodology that determines whether the naturally occurring InSAR measurements are adequate; finds the minimum number of additional devices (if required); and finds their optimal ground locations, using a predefined metric.
Journal ArticleDOI
Comparison of Shearography to Scanning Laser Vibrometry as Methods for Local Stiffness Identification of Beams
TL;DR: In this article, the modal shape of test beams is measured by both scanning laser vibrometry (SLV) and shearography, and the uncertainty of the identified stiffness distributions with both techniques is compared and related to their signal-to-noise ratios.