An augmented Lagrangian method for solving total variation (TV)-based image registration model

Noppadol Chumchob, Ke Chen

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DOI: 10.1177/1748302620973534
Published: 2020-01
Container: Journal of Algorithms & Computational Technology
Publisher: SAGE Publications
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1177/1748302620973534,
  title = {An augmented Lagrangian method for solving total variation (TV)-based image registration model},
  author = {Noppadol Chumchob and Ke Chen},
  year = {2020},
  journal = {Journal of Algorithms \&amp; Computational Technology},
  doi = {10.1177/1748302620973534},
  url = {https://doi.org/10.1177/1748302620973534}
}

RIS

TY  - JOUR
TI  - An augmented Lagrangian method for solving total variation (TV)-based image registration model
AU  - Noppadol Chumchob
AU  - Ke Chen
PY  - 2020
JO  - Journal of Algorithms &amp; Computational Technology
DO  - 10.1177/1748302620973534
UR  - https://doi.org/10.1177/1748302620973534
ER  -

APA

Chumchob, N., & Chen, K. (2020). An augmented Lagrangian method for solving total variation (TV)-based image registration model. Journal of Algorithms & Computational Technology. https://doi.org/10.1177/1748302620973534

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crossref · retrieved 2026-09-25T06:12:40.489Z