Abstract

This paper presents a computationally efficient two-dimensional phase-unwrapping method based on a multichannel least-mean-square algorithm. The performance of the proposed method is evaluated by applying phase unwrapping to several simulated very noisy images and to a genuine noisy interferometrical image taken from a five-step phase-shift interferogram obtained from a surface plasmon resonance imaging biosensing experiment. The results confirm that the proposed method is more widely applicable, more computationally efficient, and more robust in the presence of noise than the representative methods presented in this paper.

© 2004 Optical Society of America

Weighted least-squares phase-unwrapping algorithm based on the orientation coherence for discontinuous optical phase patterns

Biyuan Li, Chen Tang, Qiuling Zhou, and Zhenkun Lei
Appl. Opt. 58(2) 219-226 (2019)

Least-mean-squares phase unwrapping by use of an incomplete set of residue branch cuts

Igor V. Lyuboshenko, Henri Maı̂tre, and Alain Maruani
Appl. Opt. 41(11) 2129-2148 (2002)

Residue calibrated least-squares unwrapping algorithm for noisy and steep phase maps

Cong Wei, Jun Ma, Xinyu Miao, Nianfeng Wang, Yi Zong, and Caojin Yuan
Opt. Express 30(2) 1686-1698 (2022)

Evaluation of a preconditioned conjugate-gradient algorithm for weighted least-squares unwrapping of digital speckle-pattern interferometry phase maps

Guillermo H. Kaufmann, Gustavo E. Galizzi, and Pablo D. Ruiz
Appl. Opt. 37(14) 3076-3084 (1998)

Weighted least-squares phase unwrapping algorithm based on a non-interfering image of an object

Xian Wang, Suping Fang, and Xindong Zhu
Appl. Opt. 56(15) 4543-4550 (2017)