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.
| Original language | English |
|---|---|
| Title of host publication | GCH 2019 - Eurographics Workshop on Graphics and Cultural Heritage |
| Editors | Selma Rizvic, Karina Rodriguez-Echavarria |
| Publisher | Eurographics - European Association for Computer Graphics |
| Pages | 21-24 |
| Number of pages | 4 |
| ISBN (Electronic) | 9783038680826 |
| DOIs | |
| Publication status | Published - 2019 |
| Event | 17th Eurographics Workshop on Graphics and Cultural Heritage: GCH 2019 - Sarajevo, Bosnia and Herzegovina Duration: 6 Nov 2019 → 9 Nov 2019 |
Conference
| Conference | 17th Eurographics Workshop on Graphics and Cultural Heritage |
|---|---|
| Abbreviated title | GCH 2019 |
| Country/Territory | Bosnia and Herzegovina |
| City | Sarajevo |
| Period | 6/11/19 → 9/11/19 |
ASJC Scopus subject areas
- General Arts and Humanities
- Computer Graphics and Computer-Aided Design
- Computer Science Applications