Compression of synthetic images
Although the "digital convergence" (of computers and video)
is well underway, the convergence of computer graphics and video technology
has only begun. A key problem in this area is developing efficient ways to
compress the data used in graphics algorithms: geometric models, synthetic
images, textures, and volumes. Among the questions we are addressing in
this research are:
- Can a rendering engine provide hints to a compression engine?
Examples might include motion hints, quantization hints, importance
hints, or real-time constraints.
- Can a rendering engine perform compression or decompression? More
specifically, can we render directly from compressed textures or
volumes, or can we render directly to compressed image formats?
- What compression algorithms can we invent that are specialized for
compressing geometry and synthetic images? Examples might include
specialized basis functions for compressing smoothly shaded images
and hybrids of geometry-based and image-based compression.
This project is currently inactive.
Recent papers in this area:
- Polygon-Assisted JPEG and MPEG Compression of Synthetic Images
- Marc Levoy
- Proc. Siggraph '95
- Model-Based Motion Estimation for Synthetic Animations
- Maneesh Agrawala, Andrew Beers and
- Proc. ACM Multimedia '95
- Rendering from Compressed Textures
- Andrew Beers,
Maneesh Agrawala and
- Proc. SIGGRAPH '96
If images on this page look dark to you, see our note about gamma correction.
A list of technical papers, with abstracts and
pointers to additional information, is also available. Or you can return to
the research projects page or our home page.
Copyright © 1995 Marc Levoy
February 19, 2006 09:37:59 PM