Buelow, Max von ; Tausch, Reimar ; Knauthe, Volker ; Wirth, Tristan ; Guthe, Stefan ; Santos, Pedro ; Fellner, Dieter W. (2020)
Segmentation-Based Near-Lossless Compression of Multi-View Cultural Heritage Image Data.
GCH 2020 - Eurographics Workshop on Graphics and Cultural Heritage. virtual Conference (18.-19.11.2020)
doi: 10.2312/gch.20201294
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Cultural heritage preservation using photometric approaches received increasing significance in the past years. Capturing of these datasets is usually done with high-end cameras at maximum image resolution enabling high quality reconstruction results while leading to immense storage consumptions. In order to maintain archives of these datasets, compression is mandatory for storing them at reasonable cost. In this paper, we make use of the mostly static background of the capturing environment that does not directly contribute information to 3d reconstruction algorithms and therefore may be approximated using lossy techniques. We use a superpixel and figure-ground segmentation based near-lossless image compression algorithm that transparently decides if regions are relevant for later photometric reconstructions. This makes sure that the actual artifact or structured background parts are compressed with lossless techniques. Our algorithm achieves compression rates compared to the PNG image compression standard ranging from 1:2 to 1:4 depending on the artifact size.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2020 |
| Autor(en): | Buelow, Max von ; Tausch, Reimar ; Knauthe, Volker ; Wirth, Tristan ; Guthe, Stefan ; Santos, Pedro ; Fellner, Dieter W. |
| Art des Eintrags: | Bibliographie |
| Titel: | Segmentation-Based Near-Lossless Compression of Multi-View Cultural Heritage Image Data |
| Sprache: | Englisch |
| Publikationsjahr: | 2020 |
| Verlag: | The Eurographics Association |
| Buchtitel: | Eurographics Workshops and Symposia |
| Veranstaltungstitel: | GCH 2020 - Eurographics Workshop on Graphics and Cultural Heritage |
| Veranstaltungsort: | virtual Conference |
| Veranstaltungsdatum: | 18.-19.11.2020 |
| DOI: | 10.2312/gch.20201294 |
| URL / URN: | https://diglib.eg.org:443/handle/10.2312/gch20201294 |
| Kurzbeschreibung (Abstract): | Cultural heritage preservation using photometric approaches received increasing significance in the past years. Capturing of these datasets is usually done with high-end cameras at maximum image resolution enabling high quality reconstruction results while leading to immense storage consumptions. In order to maintain archives of these datasets, compression is mandatory for storing them at reasonable cost. In this paper, we make use of the mostly static background of the capturing environment that does not directly contribute information to 3d reconstruction algorithms and therefore may be approximated using lossy techniques. We use a superpixel and figure-ground segmentation based near-lossless image compression algorithm that transparently decides if regions are relevant for later photometric reconstructions. This makes sure that the actual artifact or structured background parts are compressed with lossless techniques. Our algorithm achieves compression rates compared to the PNG image compression standard ranging from 1:2 to 1:4 depending on the artifact size. |
| Freie Schlagworte: | Image compression, Cultural heritage |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
| Hinterlegungsdatum: | 16 Dez 2020 08:02 |
| Letzte Änderung: | 04 Feb 2022 12:39 |
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