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Image compression based on periodic principal components

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet

Authors

  • Wilmar Hernandez
  • Alfredo Mendez
  • Pablo Alejandro Quezada-Sarmiento
  • Luis Alberto Jumbo-Flores
  • Paolo Mercorelli
  • Vera Tyrsa
  • Patricia Acosta-Vargas
  • Ivan Menes Camejo
  • Jose Rigoberto Muñoz Cagua
  • Willam Bladimir Cevallos Cevallos
In the present paper, the almost periodicity of the first principal components is studied, with the aim of being able to use less information in order to obtain acceptable reconstructions of compressed images. The results of this study show that by working with the periodic principal components of images under analysis, it is possible to obtain an additional reduction to that obtained by using the original principal components. Specifically, it is shown that if the principal components that are considered periodic are replaced by their period plus a trend, it can be said that the reconstruction achieved using these periodic principal components is very close to the reconstruction achieved using the original principal components.
OriginalspracheEnglisch
TitelIECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society
Anzahl der Seiten8
ErscheinungsortPiscataway
VerlagIEEE - Institute of Electrical and Electronics Engineers Inc.
Erscheinungsdatum01.10.2019
Seiten5634-5641
Aufsatznummer8926747
ISBN (Print)978-1-7281-4879-3
ISBN (elektronisch)978-1-7281-4878-6
DOIs
PublikationsstatusErschienen - 01.10.2019
Veranstaltung45th Annual Conference of the Institute of Electrical and Electronics Engineers' Industrial Electronics Society - 2019 - Lisbon Congress Center, Lisbon, Portugal
Dauer: 14.10.2019 → 17.10.2019
Konferenznummer: 45
https://iecon2019.org/

Bibliographische Notiz

Publisher Copyright:
© 2019 IEEE.

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