Identity statement area
Reference TypeConference Proceedings
Last Update2010:
Metadata Last Update2010:
Citation KeyBraynerWalt:2010:CoSyTe
TitleCompression of Synthesized Textures
FormatPrinted, On-line.
DateAug. 30 - Sep. 3, 2010
Access Date2020, Dec. 05
Number of Files1
Size1214 KiB
Context area
Author1 Brayner, Fernando Leal
2 Walter, Marcelo
Affiliation1 UFPE
EditorBellon, Olga
Esperanša, Claudio
Conference NameConference on Graphics, Patterns and Images, 23 (SIBGRAPI)
Conference LocationGramado
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
History2010-10-01 04:19:38 :: -> :: 2010
Content and structure area
Is the master or a copy?is the master
Document Stagecompleted
Content TypeExternal Contribution
Tertiary TypeFull Paper
Keywordstexture compression, texture synthesis.
AbstractIn spite of graphics hardware advancements, graphics memory is still a scarce resource for usual applications. Besides, for most raster-based applications, the available bandwidth is one important limiting factor for increasing performance in the system. Texture compression addresses both of these problems. We introduce a new technique for compression of textures synthesized from samples. The compressed texture stores the sample plus encoded data, gathered during synthesis, which enables real-time decompression of large textures. With this scheme we are able to achieve high compression rates. Our solution explores a spectrum of textures where general texture compression schemes achieve less than optimal compression rates. These are usually textures with repeating patterns, regular or near-regular ones, and stochastic ones, the exactly types of textures where texture synthesis algorithms perform well. We also present analytical formulae for our compression scheme that allows an exact computation of compression rates achieved.
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