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Deep bayesian neural networks for UWB phase error correction in positioning systems. [PDF]
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Shading-based absolute phase unwrapping
Optics Letters, 2021Absolute phase unwrapping in the phase-shifting profilometry (PSP) is significant for dynamic 3-D measurements over a large depth range. Among traditional phase unwrapping methods, spatial phase unwrapping can only retrieve a relative phase map, and temporal phase unwrapping requires auxiliary projection sequences.
Yuchen Hu +5 more
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Phase difference-based multichannel phase unwrapping
IEEE Transactions on Image Processing, 2005This work addresses the derivation of the phase difference-based maximum likelihood (ML) phase unwrapping algorithm. To this end, we derive the joint statistics of the phase differences on a two-dimensional grid for the multichannel case, where several scaled wrapped phase values are available.
Fornaro G, Pauciullo A, Sansosti E
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Unwrapping highly wrapped phase using Nonlinear Multi Echo phase unwrapping
2015The unwrapping problem has been a major topic of research for over a decade. A variety of algorithms were suggested, but a correct solution is by no means guaranteed. In addition, many of these techniques are timeconsuming issues. In this work, we propose a simple and fast method, which combines conventional temporal unwrapping with a nonlinear phase ...
Fatnassi C. +3 more
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Proposed algorithm for phase unwrapping
Applied Optics, 2002A new, to our knowledge, two-dimensional phase-unwrapping algorithm is proposed. The algorithm, which is based on the global continuity of physical information (e.g. the three-dimensional surface profile of an object) being measured, uses the principle of least-phase difference to rectify errors caused by an erroneous 2pi-phase jump in the initial ...
He, X.Y. +4 more
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Phase difference based multiple acquisition phase unwrapping
IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2004This work addresses the derivation of a phase-difference (gradient) based maximum likelihood (ML) phase unwrapping algorithm. In particular, we determine and study the structure of the ML phase unwrapping on a 2D grid in the multi-channel case and compare it with existing phase unwrapping algorithms.
Fornaro G, Pauciullo A, Sansosti E
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Filtering-based phase unwrapping
SPIE Proceedings, 2008Phase unwrapping is a usually necessary step in optical interferometry in order to construct a continuous phase distribution. A straightforward strategy is to filter the noise effectively, followed by a simple phase unwrapping process. A windowed Fourier filter is proposed to realize this strategy, which has the following properties: (i) it removes ...
Kemao Qian, Wenjing Gao, Haixia Wang
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Morphological phase unwrapping
Optics and Lasers in Engineering, 1999Abstract Phase unwrapping is the process of determining the absolute phase given its principal value. In this paper, we show that morphological image processing techniques can be helpful for solving this problem. The proposed procedure consists of three independent modules.
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New regularization scheme for phase unwrapping
Applied Optics, 1998A new, to our knowledge, algorithm for the phase unwrapping (PU) problem that is based on stochastic relaxation is proposed and analyzed. Unlike regularization schemes previously proposed to handle this problem, our approach dispells the following two assumptions about the solution: a Gaussian model for noise and the magnitude of the true phase-field ...
GUERRIERO L +3 more
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