Practical HDR Texture Compression

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 textur...

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Vydáno v:	Computer graphics forum Ročník 27; číslo 6; s. 1664 - 1676
Hlavní autoři:	Munkberg, J., Clarberg, P., Hasselgren, J., Akenine-Möller, T.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Oxford, UK Blackwell Publishing Ltd 01.09.2008
Témata:	Algorithms Computer and Information Sciences Computer graphics Computer programming Computer Sciences Data compression Data- och informationsvetenskap (Datateknik) Datavetenskap (Datalogi) E.4 [Coding and Information Theory]: Data compaction and compression HDR images I.3.7 [Computer Graphics]: Texture I.4.2 [Image Processing and Computer Vision]: Compression (Coding) Natural Sciences Naturvetenskap Procrustes analysis Realism Studies texture compression
ISSN:	0167-7055, 1467-8659, 1467-8659
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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 filtering, we perform filtering prior to the colour 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.
AbstractList	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 colour 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. Submitted February 2008 Revised April 2008 Accepted May 2008. 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 colour 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. 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 colour 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. [PUBLICATION 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 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	Clarberg, P. Munkberg, J. Akenine-Möller, T. Hasselgren, J.
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Snippet	The use of high dynamic range (HDR) textures in real‐time graphics applications can increase realism and provide a more vivid experience. However, the... The use of high dynamic range (HDR) textures in real-time graphics applications can increase realism and provide a more vivid experience. However, the...
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SubjectTerms	Algorithms Computer and Information Sciences Computer graphics Computer programming Computer Sciences Data compression Data- och informationsvetenskap (Datateknik) Datavetenskap (Datalogi) E.4 [Coding and Information Theory]: Data compaction and compression HDR images I.3.7 [Computer Graphics]: Texture I.4.2 [Image Processing and Computer Vision]: Compression (Coding) Natural Sciences Naturvetenskap Procrustes analysis Realism Studies texture compression
Title	Practical HDR Texture Compression
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