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Proceedings Paper

GPU-specific reformulations of image compression algorithms
Author(s): Jiří Matela; Petr Holub; Martin Jirman; Martin Šrom
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Paper Abstract

Image compression has a number of applications in various fields, where processing throughput and/or latency is a crucial attribute and the main limitation of state-of-the-art implementations of compression algorithms. At the same time contemporary GPU platforms provide tremendous processing power but they call for specific algorithm design. We discuss key components of successful design of compression algorithms for GPUs and demonstrate this on JPEG and JPEG2000 implementations, each of which contains several types of algorithms requiring different approaches to efficient parallelization for GPUs. Performance evaluation of the optimized JPEG and JPEG2000 chain is used to demonstrate the importance of various aspects of GPU programming, especially with respect to real-time applications.

Paper Details

Date Published: 15 October 2012
PDF: 8 pages
Proc. SPIE 8499, Applications of Digital Image Processing XXXV, 849916 (15 October 2012); doi: 10.1117/12.929971
Show Author Affiliations
Jiří Matela, CESNET z.s.p.o. (Czech Republic)
Masaryk Univ. (Czech Republic)
Petr Holub, CESNET z.s.p.o. (Czech Republic)
Masaryk Univ. (Czech Republic)
Martin Jirman, CESNET z.s.p.o. (Czech Republic)
Martin Šrom, CESNET z.s.p.o. (Czech Republic)


Published in SPIE Proceedings Vol. 8499:
Applications of Digital Image Processing XXXV
Andrew G. Tescher, Editor(s)

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