NDLI: Denoising phase unwrapping algorithm for precise phase shifting interferometry

Content Provider	Springer Nature Link
Author	Rhee, Hyug Gyo Phuc, Phan Huy Ghim, Young Sik
Copyright Year	2017
Abstract	Phase unwrapping refers to the process of recovering the absolute phase ϕ from a wrapped phase φ. Phase unwrapping arise in many applications, such as wavefront measurements in interferometry, field mapping in magnetic resonance imaging, the interferometry SAR process, measurements in adaptive optics and even a deflectometry. Gaining attention for a long time, many algorithms have been developed in relation to phase unwrapping problem. Jose’s phase unwrapping algorithm via graph cuts (PUMA) is one of the most efficient algorithms given its ability to process various phase types with high accuracy levels. However, the drawback of PUMA is its computation speed when processing large complex phases, and its lack of a pre-filter, which raises issues when processing noisy data. In this paper, we propose a new algorithm which combines two structures: the incremental breadth-first search, which modifies the Boykov-Kolmogorov algorithm with regard to how it finds a path from the source to the sink of a graph in the max-flow problem in order to help reduce the processing time of the PUMA algorithm; and a pre-filter which operates on the principle of adaptive local denoising. Simulations and experimental implementations were used to demonstrate the ability of the proposed algorithm.
Starting Page	82
Ending Page	87
Page Count	6
File Format	PDF
ISSN	03744884
Journal	Journal of the Korean Physical Society
Volume Number	71
Issue Number	2
e-ISSN	19768524
Language	English
Publisher	The Korean Physical Society
Publisher Date	2017-07-22
Publisher Place	Seoul
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Phase unwrapping Phase shifting interferometry Theoretical, Mathematical and Computational Physics Physics Particle and Nuclear Physics
Content Type	Text
Resource Type	Article
Subject	Physics and Astronomy

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