Buelow, Max von ; Guthe, Stefan ; Ritz, Martin ; Santos, Pedro ; Fellner, Dieter W. (2019)
Lossless Compression of Multi-View Cultural Heritage Image Data.
17th Eurographics Workshop on Graphics and Cultural Heritage (GCH'19). Sarajevo, Bosnia and Herzegovina (06.-09.11.2019)
doi: 10.2312/gch.20191343
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Photometric multi-view 3D geometry reconstruction and material capture are important techniques for cultural heritage digitalization. Capturing images of artifacts with high resolution and high dynamic range and the possibility to store them losslessly enables future proof application of this data. As the images tend to consume immense amounts of storage, compression is essential for long time archiving. In this paper, we present a lossless image compression approach for multi-view and material reconstruction datasets with a strong focus on data created from cultural heritage digitalization. Our approach achieves compression rates of 2:1 compared against an uncompressed representation and 1.24:1 when compared against Gzip.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2019 |
| Autor(en): | Buelow, Max von ; Guthe, Stefan ; Ritz, Martin ; Santos, Pedro ; Fellner, Dieter W. |
| Art des Eintrags: | Bibliographie |
| Titel: | Lossless Compression of Multi-View Cultural Heritage Image Data |
| Sprache: | Englisch |
| Publikationsjahr: | 2019 |
| Verlag: | Eurographics Association |
| Buchtitel: | Eurographics Workshops and Symposia |
| Veranstaltungstitel: | 17th Eurographics Workshop on Graphics and Cultural Heritage (GCH'19) |
| Veranstaltungsort: | Sarajevo, Bosnia and Herzegovina |
| Veranstaltungsdatum: | 06.-09.11.2019 |
| DOI: | 10.2312/gch.20191343 |
| Kurzbeschreibung (Abstract): | Photometric multi-view 3D geometry reconstruction and material capture are important techniques for cultural heritage digitalization. Capturing images of artifacts with high resolution and high dynamic range and the possibility to store them losslessly enables future proof application of this data. As the images tend to consume immense amounts of storage, compression is essential for long time archiving. In this paper, we present a lossless image compression approach for multi-view and material reconstruction datasets with a strong focus on data created from cultural heritage digitalization. Our approach achieves compression rates of 2:1 compared against an uncompressed representation and 1.24:1 when compared against Gzip. |
| Freie Schlagworte: | Image compression, Cultural heritage, Wavelet transformation |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
| Hinterlegungsdatum: | 09 Apr 2020 12:51 |
| Letzte Änderung: | 04 Feb 2022 12:39 |
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