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@inproceedings{989228,
author = {Matela, Jiří and Holub, Petr and Jirman, Martin and Šrom, Martin},
address = {BELLINGHAM, WA 98227-0010 USA},
booktitle = {Proceedings of Applications of Digital Image Processing XXXV},
doi = {http://dx.doi.org/10.1117/12.929971},
edition = {8499},
editor = {Tescher, AG},
keywords = {GPU; parallel; reformulation; JPEG; JPEG2000; Context Modeling; Arithmetic coding; MQ-Coder; Huffman coding},
howpublished = {elektronická verze "online"},
language = {eng},
location = {BELLINGHAM, WA 98227-0010 USA},
isbn = {978-0-8194-9216-6},
pages = {nestránkováno},
publisher = {SPIE-INT SOC OPTICAL ENGINEERING},
title = {GPU-specific reformulations of image compression algorithms},
year = {2012}
}
TY - JOUR
ID - 989228
AU - Matela, Jiří - Holub, Petr - Jirman, Martin - Šrom, Martin
PY - 2012
TI - GPU-specific reformulations of image compression algorithms
PB - SPIE-INT SOC OPTICAL ENGINEERING
CY - BELLINGHAM, WA 98227-0010 USA
SN - 9780819492166
KW - GPU
KW - parallel
KW - reformulation
KW - JPEG
KW - JPEG2000
KW - Context Modeling
KW - Arithmetic coding
KW - MQ-Coder
KW - Huffman coding
N2 - Image compressions have a number of applications in various fields where the processing throughput and/or latency is a crucial attribute and the main limitation with state of the art implementations of compression algorithms. At the same time the contemporary GPUs provide a tremendous processing power applicable to the image compression acceleration but it calls for a specific algorithm design. We discuss the key components of successful GPU algorithm design and demonstrate this on JPEG2000 compression chain, which contains several types of algorithms: from DWT which is inherently well suited to GPU, through context modeling requiring reformulation in order to perform well on GPU, to arithmetic coding which does not fit the paradigm well but can be optimized to perform faster than CPU versions. Performance evaluation of the optimized JPEG2000 chain will be used to demonstrate the importance of various aspects of GPU programming, especially with respect to real-time applications.
ER -
MATELA, Jiří, Petr HOLUB, Martin JIRMAN and Martin ŠROM. GPU-specific reformulations of image compression algorithms. Online. In Tescher, AG. \textit{Proceedings of Applications of Digital Image Processing XXXV}. 8499th ed. BELLINGHAM, WA 98227-0010 USA: SPIE-INT SOC OPTICAL ENGINEERING, 2012. p.~nestránkováno, 8 pp. ISBN~978-0-8194-9216-6. Available from: https://dx.doi.org/10.1117/12.929971. [citováno 2024-04-24]
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