Image compression based on periodic principal components
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
Authors
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.
| Originalsprache | Englisch |
|---|---|
| Titel | IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society |
| Anzahl der Seiten | 8 |
| Erscheinungsort | Piscataway |
| Verlag | IEEE - Institute of Electrical and Electronics Engineers Inc. |
| Erscheinungsdatum | 01.10.2019 |
| Seiten | 5634-5641 |
| Aufsatznummer | 8926747 |
| ISBN (Print) | 978-1-7281-4879-3 |
| ISBN (elektronisch) | 978-1-7281-4878-6 |
| DOIs | |
| Publikationsstatus | Erschienen - 01.10.2019 |
| Veranstaltung | 45th 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/ |
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