Practical HDR texture compression
(2008) In Computer Graphics Forum 27(6). p.1664-1676- Abstract
- The use of high dynamic range (HDR) textures in real-time graphics applications can increase realism and provide a more vivid experience. However, the increased bandwidth and storage requirements for uncompressed HDR
data can become a major bottleneck. Hence, several recent algorithms for HDR texture compression have been
proposed. In this paper, we discuss several practical issues one has to confront in order to develop and implement HDR texture compression schemes. These include improved texture filtering and efficient offline compression.
For compression, we describe how Procrustes analysis can be used to quickly match a predefined template shape against chrominance data. To reduce the cost of HDR texture... (More) - The use of high dynamic range (HDR) textures in real-time graphics applications can increase realism and provide a more vivid experience. However, the increased bandwidth and storage requirements for uncompressed HDR
data can become a major bottleneck. Hence, several recent algorithms for HDR texture compression have been
proposed. In this paper, we discuss several practical issues one has to confront in order to develop and implement HDR texture compression schemes. These include improved texture filtering and efficient offline compression.
For compression, we describe how Procrustes analysis can be used to quickly match a predefined template shape against chrominance data. To reduce the cost of HDR texture filtering, we perform filtering prior to the color transformation, and use a simple trick to reduce the incurred errors. We also introduce a number of novel compression modes, which can be combined with existing compression schemes, or used on their own. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1152582
- author
- Munkberg, Jacob LU ; Clarberg, Petrik LU ; Hasselgren, Jon LU and Akenine-Möller, Tomas LU
- organization
- publishing date
- 2008
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Texture compression, data compaction, Real-time graphics
- in
- Computer Graphics Forum
- volume
- 27
- issue
- 6
- pages
- 1664 - 1676
- publisher
- Wiley-Blackwell
- external identifiers
-
- wos:000259360200009
- scopus:64549146248
- ISSN
- 1467-8659
- DOI
- 10.1111/j.1467-8659.2008.01174.x
- language
- English
- LU publication?
- yes
- id
- 91365f16-5d5c-4b34-b331-01d05b37af03 (old id 1152582)
- date added to LUP
- 2016-04-01 12:33:21
- date last changed
- 2022-01-27 06:44:01
@article{91365f16-5d5c-4b34-b331-01d05b37af03, abstract = {{The use of high dynamic range (HDR) textures in real-time graphics applications can increase realism and provide a more vivid experience. However, the increased bandwidth and storage requirements for uncompressed HDR <br/><br> data can become a major bottleneck. Hence, several recent algorithms for HDR texture compression have been <br/><br> proposed. In this paper, we discuss several practical issues one has to confront in order to develop and implement HDR texture compression schemes. These include improved texture filtering and efficient offline compression. <br/><br> For compression, we describe how Procrustes analysis can be used to quickly match a predefined template shape against chrominance data. To reduce the cost of HDR texture filtering, we perform filtering prior to the color transformation, and use a simple trick to reduce the incurred errors. We also introduce a number of novel compression modes, which can be combined with existing compression schemes, or used on their own.}}, author = {{Munkberg, Jacob and Clarberg, Petrik and Hasselgren, Jon and Akenine-Möller, Tomas}}, issn = {{1467-8659}}, keywords = {{Texture compression; data compaction; Real-time graphics}}, language = {{eng}}, number = {{6}}, pages = {{1664--1676}}, publisher = {{Wiley-Blackwell}}, series = {{Computer Graphics Forum}}, title = {{Practical HDR texture compression}}, url = {{http://dx.doi.org/10.1111/j.1467-8659.2008.01174.x}}, doi = {{10.1111/j.1467-8659.2008.01174.x}}, volume = {{27}}, year = {{2008}}, }