GPU-Based Sample-Parallel Context Modeling for EBCOT in JPEG2000

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F63839172%3A_____%2F10%3A00007007" target="_blank" >RIV/63839172:_____/10:00007007 - isvavai.cz</a>
Alternative codes found
RIV/00216224:14330/10:00057180
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
GPU-Based Sample-Parallel Context Modeling for EBCOT in JPEG2000
Original language description
is the fundamental and computationally very demanding part of the compression process of JPEG2000 image compression standard. EBCOT itself consists of two tiers. In Tier-1, image samples are compressed using context modeling and arithmetic coding. Resulting bit-stream is further formated and truncated in Tier-2. JPEG2000 has a number of applications in various fields where the processing speed and/or latency is a crucial attribute and the main limitation with state of the art implementations. In this paper we propose a new parallel approach to EBCOT context modeling that truly exploits massively parallel capabilities of modern GPUs and enables concurrent processing of individual image samples. Performance evaluation of our prototype shows speedup 12 times for the context modeller, and 1.4--5.3 times for the whole EBCOT Tier-1, which includes not yet optimized arithmetic coder.
Czech name
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Czech description
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Project
<a href="/en/project/GD102%2F09%2FH042" target="_blank" >GD102/09/H042: Mathematical and Engineering Approaches to Developing Reliable and Secure Concurrent and Distributed Computer Systems</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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