SymmetricStructuralAE/CITATION.cff at main · danielstaps/SymmetricStructuralAE · GitHub

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cff-version: 1.2.0
message: "If you use this software, please cite the paper below."
title: "SyS-AE: Symmetric Structural Auto-Encoder"
abstract: >-
  Reference implementation of the Symmetric Structural Auto-Encoder (SyS-AE) for perceptually
  preserving, low-complexity lossy image compression, applied to microgravity particle images
  (PK4/COMPACT) as well as MNIST and Fashion-MNIST.
type: software
doi: "10.5281/zenodo.21573282"
authors:
  - family-names: Staps
    given-names: Daniel
    orcid: "https://orcid.org/0009-0002-4459-4544"
repository-code: "https://github.com/danielstaps/SymmetricStructuralAE"
license: MIT
year: 2023
keywords:
  - auto-encoder
  - image compression
  - structural similarity
  - SSIM
  - microgravity
preferred-citation:
  type: conference-paper
  title: "Compression of Particle Images for Inspection of Microgravity Experiments by Means of a Symmetric Structural Auto-Encoder"
  authors:
    - family-names: Staps
      given-names: Daniel
      orcid: "https://orcid.org/0009-0002-4459-4544"
    - family-names: Kaden
      given-names: Marika
    - family-names: Auth
      given-names: Jan
    - family-names: Zaussinger
      given-names: Florian
    - family-names: Villmann
      given-names: Thomas
  collection-title: "2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)"
  publisher:
    name: IEEE
  year: 2023
  start: 1
  end: 5
  doi: "10.1109/WHISPERS61460.2023.10431286"