Compressing color data for voxelized surface geometry
Journal article, 2019

We explore the problem of decoupling color information from geometry in large scenes of voxelized surfaces and of compressing the array of colors without introducing disturbing artifacts. In this extension of our I3D paper with the same title [1] , we first present a novel method for connecting each node in a sparse voxel DAG to its corresponding colors in a separate 1D array of colors, with very little additional information stored to the DAG. Then, we show that by mapping the 1D array of colors onto a 2D image using a space-filling curve, we can achieve high compression rates and good quality using conventional, modern, hardware-accelerated texture compression formats such as ASTC or BC7. We additionally explore whether this method can be used to compress voxel colors for off-line storage and network transmission using conventional off-line compression formats such as JPG and JPG2K. For real-time decompression, we suggest a novel variable bitrate block encoding that consistently outperforms previous work, often achieving two times the compression at equal quality.

BC

space filling curve

color compression

PNG

ASTC

Voxel

sparse voxel octree

directed acyclic graph

JPEG

Author

Dan Dolonius

Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers), Real-time and Computer Graphics Systems

Erik Sintorn

Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers), Real-time and Computer Graphics Systems

Viktor Kämpe

Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers), Real-time and Computer Graphics Systems

Ulf Assarsson

Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers), Real-time and Computer Graphics Systems

IEEE Transactions on Visualization and Computer Graphics

1077-2626 (ISSN)

Vol. 25 2 1270-1282 8013133

Real-time Photo-realistic Rendering

Swedish Research Council (VR), 2014-01-01 -- 2021-12-31.

Subject Categories

Media Engineering

Discrete Mathematics

Computer Vision and Robotics (Autonomous Systems)

DOI

10.1109/TVCG.2017.2741480

PubMed

28829311

More information

Latest update

6/26/2019