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Preliminary investigation of hologram compression using tensor decomposition

  • Tomoyoshi Shimobaba*
  • , Fan Wang
  • , David Blinder
  • , Joanna Starobrat
  • , Chung Hsuan Huang
  • , Tatsuki Tahara
  • , Chau Jern Cheng
  • , Peter Schelkens
  • , Tomoyoshi Ito
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Hologram compression presents a significant challenge, as holograms differ fundamentally from ordinary images. To address this, this study proposed a lossy hologram compression method utilizing tensor decomposition.

Original languageEnglish
Title of host publicationComputational Optical Sensing and Imaging, COSI 2025 in Proceedings Optica Imaging Congress 2025, 3D, DH, COSI, IS, pcAOP, RadIT - Part of Optica Imaging Congress
PublisherOptical Society of America
ISBN (Electronic)9781557529374
DOIs
Publication statusPublished - 2025
Event2025 Computational Optical Sensing and Imaging, COSI 2025 - Seattle, United States
Duration: 2025 Aug 182025 Aug 21

Publication series

NameComputational Optical Sensing and Imaging, COSI 2025 in Proceedings Optica Imaging Congress 2025, 3D, DH, COSI, IS, pcAOP, RadIT - Part of Optica Imaging Congress

Conference

Conference2025 Computational Optical Sensing and Imaging, COSI 2025
Country/TerritoryUnited States
CitySeattle
Period2025/08/182025/08/21

ASJC Scopus subject areas

  • General Computer Science
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Instrumentation
  • Atomic and Molecular Physics, and Optics

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