KIT | KIT-Bibliothek | Impressum | Datenschutz

Random Access Segmentation Volume Compression for Interactive Volume Rendering

Piochowiak, Max ORCID iD icon 1; Kurpicz, Florian 2; Dachsbacher, Carsten 1
1 Institut für Visualisierung und Datenanalyse (IVD), Karlsruher Institut für Technologie (KIT)
2 Institut für Theoretische Informatik (ITI), Karlsruher Institut für Technologie (KIT)

Abstract:

Segmentation volumes are voxel data sets often used in machine learning, connectomics, and natural sciences. Their large sizes make compression indispensable for storage and processing, including GPU video memory constrained real-time visualization. Fast Compressed Segmentation Volumes (CSGV) [PD24] provide strong brick-wise compression and random access at the brick level. Voxels within a brick, however, have to be decoded serially and thus rendering requires caching of visible full bricks, consuming extra memory. Without caching, accessing voxels can have a worst-case decoding overhead of up to a full brick (typically over 32.000 voxels). We present CSGV-R which provide true multi-resolution random access on a per-voxel level. We leverage Huffman-shaped Wavelet Trees for random accesses to variable bit-length encoding and their rank operation to query label palette offsets in bricks. Our real-time segmentation volume visualization removes decoding artifacts from CSGV and renders CSGV-R volumes without caching bricks at faster render times. CSGV-R has slightly lower compression rates than CSGV, but outperforms Neuroglancer, the state-of-the-art compression technique with true random access, with 2× to 4× smaller data sets at rates between 0.648% and 4.411% of the original volume sizes.


Verlagsausgabe §
DOI: 10.5445/IR/1000180601
Veröffentlicht am 12.05.2025
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Theoretische Informatik (ITI)
Institut für Visualisierung und Datenanalyse (IVD)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 03.2025
Sprache Englisch
Identifikator ISSN: 0167-7055, 1467-8659
KITopen-ID: 1000180601
Erschienen in Computer graphics forum
Verlag John Wiley and Sons
Band 44
Heft 3
Seiten 12 S.
Bemerkung zur Veröffentlichung Eurographics Conference on Visualization (EuroVis 2025), Luxemburg, June 2-6, 2025. Ed.: W. Aigner
Schlagwörter Segmentation Volumes, Compression, Wavelet Trees, Volume Rendering, Visualization
KIT – Die Universität in der Helmholtz-Gemeinschaft
KITopen Landing Page