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A mathematical explanation of UNet

  • Xue-Cheng TAI
  • , Hao LIU*
  • , Raymond H. CHAN
  • , Lingfeng LI
  • *Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

Abstract

The UNet architecture has transformed image segmentation. UNet's versatility and accuracy have driven its widespread adoption, significantly advancing fields reliant on machine learning problems with images. In this work, we gave a clear and concise mathematical explanation of UNet. We explained what is the meaning and function of each of the components of UNet. We showed that UNet was solving a control problem. We decomposed the control variables using multigrid methods. Then, operator-splitting techniques were used to solve the problem, whose architecture exactly recovered the UNet architecture. Our result showed that UNet was a one-step operator-splitting algorithm for the control problem.
Original languageEnglish
Pages (from-to)874-889
Number of pages16
JournalMathematical Foundations of Computing
Volume8
Issue number5
Early online dateOct 2024
DOIs
Publication statusPublished - Oct 2025

Bibliographical note

Publisher Copyright:
© (2025), (American Institute of Mathematical Sciences). All rights reserved.

Funding

The first author is supported by [HKRGC-NSFC Grant N-CityU214/19, HKRGC CRF Grant C1013-21GF and NORCE Kompetanseoppbygging program]. The second author is supported by [National Natural Science Foundation of China 12201530 and HKRGC ECS 22302123]. The third author is supported by [HKRGC GRF grants CityU1101120, CityU11309922, CRF grant C1013-21GF, and HKRGC-NSFC Grant N-CityU214/19].

Keywords

  • deep neural network
  • image segmentation
  • operator splitting
  • UNet

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