@inproceedings{13a4a123377c4057a3ecbd948528d817,
title = "Integrability-regularized phase unwrapping via sparse error correction",
abstract = "We propose a new formulation of the classical two-dimensional phase unwrapping problem. Using a sparse-error, gradient-domain measurement model, we simultaneously seek the absolute phase and sparse gradient errors that minimize a novel energy functional that strongly encourages the integrability of the corrected gradient field. Our approach can be cast as a generalized lasso problem, and we compute the solution using the alternating direction method of multipliers (ADMM) algorithm. Adopting a commonly-used inter-ferometric synthetic aperture radar noise model, we evaluate our technique for several synthetic surfaces.",
keywords = "Phase unwrapping, integrability, interferometric synthetic aperture radar, sparse error correction",
author = "Garrett Warnell and Patel, {Vishal M.} and Rama Chellappa",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Conference on Image Processing, ICIP 2015 ; Conference date: 27-09-2015 Through 30-09-2015",
year = "2015",
month = dec,
day = "9",
doi = "10.1109/ICIP.2015.7351736",
language = "English (US)",
series = "Proceedings - International Conference on Image Processing, ICIP",
publisher = "IEEE Computer Society",
pages = "4887--4891",
booktitle = "2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings",
address = "United States",
}