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A Robust and Simple Measure for Quality-Guided 2D Phase Unwrapping Algorithms

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TLDR
A novel quality measure is proposed that is consistent, technically sound, effective, fast to compute, and immune to the presence of a carrier signal.
Abstract
Quality-based 2D phase unwrapping algorithms provide one of the best tradeoffs between speed and quality of results. Their robustness depends on a quality map, which is used to build a path that visits the most reliable pixels first. Unwrapping then proceeds along this path, delaying unwrapping of noisy and inconsistent areas until the end, so that the unwrapping errors remain local. We propose a novel quality measure that is consistent, technically sound, effective, fast to compute, and immune to the presence of a carrier signal. The new measure combines the benefits of both the quality-guided and the residue-based phase unwrapping approaches. The quality map is justified from the two different theoretical points of view. Exhaustive tests on a variety of artificially generated and real 2D wrapped phase signals illustrate its potential usefulness in the field of fringe projection profilometry.

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Citations
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Phase Unwrapping in InSAR : A Review

TL;DR: This article describes innovative PU techniques and concepts related to multibaseline (MB) PU and large-scale (LS) PU in InSAR signal processing and discusses several numerical processing examples of these PU techniques.
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PhaseNet 2.0: Phase Unwrapping of Noisy Data Based on Deep Learning Approach

TL;DR: The proposed novel deep learning framework for unwrapping the phase does not require post-processing, is highly robust to noise, accurately unwraps the phase even at the severe noise level of −5 dB, and can unwrap the phase maps even at relatively high dynamic ranges.
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Enhanced high dynamic range 3D shape measurement based on generalized phase-shifting algorithm

TL;DR: A method to enhance high dynamic range 3D shape measurement based on a generalized phase-shifting algorithm, which combines the complementary techniques of inverted and regular fringe patterns with a generalizedphase-sh shifting algorithm is proposed.
References
More filters
Journal Article

Fourier-transform method of fringe-pattern analysis for computer-based topography and interferometry

TL;DR: In this article, a fast Fourier transform method of topography and interferometry is proposed to discriminate between elevation and depression of the object or wave-front form, which has not been possible by the fringe-contour generation techniques.
Journal ArticleDOI

Fourier-transform method of fringe-pattern analysis for computer-based topography and interferometry

TL;DR: In this paper, a fast Fourier transform method of topography and interferometry is proposed to discriminate between elevation and depression of the object or wave-front form, which has not been possible by the fringe-contour generation techniques.
Journal ArticleDOI

Satellite radar interferometry: Two-dimensional phase unwrapping

TL;DR: In this paper, an approach to 'unwrapping' the 2 pi ambiguities in the two-dimensional data set is presented, where it is found that noise and geometrical radar layover corrupt measurements locally, and these local errors can propagate to form global phase errors that affect the entire image.
Book

Handbook of Filter Synthesis

TL;DR: In this article, the authors present the theory of effective PARAMETERS in terms of the effectiveness of different types of filters in the real-time domain and the effect of different filters on the performance of the network.
Journal ArticleDOI

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

TL;DR: This work describes what is to the authors' knowledge a novel technique for phase unwrapping that uses a different type of reliability function and does not follow a continuous path to perform the unwrapped operation.
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