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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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Optimizing the exploitation of persistent scatterers in satellite radar interferometry
TL;DR: A parameter known as RDI (Relative Deformation Index) is introduced to detect, quantify and analyze the regions subject to relative deformation for infrastructural stability analysis and introduces an approach to use a 3D building model of the physical objects to precisely associate radar scatterers to physical objects.
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BM3D Denoising for a Cluster-Analysis-Based Multibaseline InSAR Phase-Unwrapping Method
TL;DR: In this article , block-matching and 3D filtering (BM3D) algorithm is applied to improve the performance of the multibaseline (MB) phase unwrapping (PU) method.
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Dynamic phase measurements based on a polarization Michelson interferometer employing a pixelated polarization camera
TL;DR: In this paper, an interferometric configuration capable of following a phase variation in time is implemented, which is able to retrieve the phase information instantaneously avoiding the usage of moving components and the necessity of an extra replication method attached at the output of the interferometer.
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Unwrapping free Hilbert transform-based phase retrieval method in quantitative interferometric microscopy
TL;DR: Considering its fast speed and high accuracy in phase retrieval, it is believed that the unwrapping free HT-based phase retrieval method can be potentially applied in high throughput cellular observations and measurements.
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Wavefront reconstruction in phase-shifting interferometry via sparse coding of amplitude and absolute phase
TL;DR: The sparse phase and amplitude reconstruction (SPAR) algorithm is introduced, which takes into full consideration the Poissonian measurements and uses the data-adaptive block-matching 3D frames as a sparse representation for the amplitude and for the absolute phase.
References
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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.
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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.
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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.
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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.
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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.