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TEXTURE COMPRESSION IN MEMORY AND PERFORMANCE-CONSTRAINED EMBEDDED SYSTEMS
Linköping University, Department of Electrical Engineering, Information Coding. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Computer Engineering. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Information Coding. Linköping University, The Institute of Technology.
2011 (English)In: Computer Graphics, Visualization, Computer Vision and Image Processing 2011 / [ed] Yingcai Xiao, 2011, 19-26 p.Conference paper, Published paper (Refereed)
Abstract [en]

More embedded systems gain increasing multimedia capabilities, including computer graphics. Although this is mainly due to their increasing computational capability, optimizations of algorithms and data structures are important as well, since these systems have to fulfill a variety of constraints and cannot be geared solely towards performance. In this paper, the two most popular texture compression methods (DXT1 and PVRTC) are compared in both image quality and decoding performance aspects. For this, both have been ported to the ePUMA platform which is used as an example of energy consumption optimized embedded systems. Furthermore, a new DXT1 encoder has been developed which reaches higher image quality than existing encoders.

Place, publisher, year, edition, pages
2011. 19-26 p.
Keyword [en]
Embedded systems, texture compression
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-70245ISBN: 978-972-8939-48-9 (print)OAI: oai:DiVA.org:liu-70245DiVA: diva2:437292
Conference
Computer Graphics, Visualization, Computer Vision and Image Processing 2011
Projects
ePUMA
Available from: 2011-08-29 Created: 2011-08-29 Last updated: 2011-09-05

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Ogniewski, JensKarlsson, AndréasRagnemalm, Ingemar

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