Blind image deconvolution algorithm on NVIDIA CUDA platform

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F10%3A00342300" target="_blank" >RIV/67985556:_____/10:00342300 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Blind image deconvolution algorithm on NVIDIA CUDA platform

Popis výsledku v původním jazyce

Advanced image processing algorithms usually require high computing performance. Today's personal computers (PCs) offer satisfying resources for implementation of image processing tasks. However, as the image processing techniques are becoming more and more complex other implementation possibilities have to be searched. Since image processing algorithms usually comply with the Single Instruction Multiple Data (SIMD) model, implementation efforts using such hardware resources are suitable. An example ofthe SIMD hardware component available nowadays is the graphics processor (GPU) embedded in modern graphics cards manufactured for PCs. In this paper, the implementation of a blind image deconvolution algorithm using graphics processor as the SIMD computing resource is presented. The resulting performance is compared to the performance achieved on a common general-purpose processor (CPU).

Název v anglickém jazyce

Blind image deconvolution algorithm on NVIDIA CUDA platform

Popis výsledku anglicky

Advanced image processing algorithms usually require high computing performance. Today's personal computers (PCs) offer satisfying resources for implementation of image processing tasks. However, as the image processing techniques are becoming more and more complex other implementation possibilities have to be searched. Since image processing algorithms usually comply with the Single Instruction Multiple Data (SIMD) model, implementation efforts using such hardware resources are suitable. An example ofthe SIMD hardware component available nowadays is the graphics processor (GPU) embedded in modern graphics cards manufactured for PCs. In this paper, the implementation of a blind image deconvolution algorithm using graphics processor as the SIMD computing resource is presented. The resulting performance is compared to the performance achieved on a common general-purpose processor (CPU).

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

<a href="/cs/project/7H09005" target="_blank" >7H09005: SCAlable LOw Power Embedded platformS</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2010

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 13th IEEE Symposium on Design and Diagnostics of Electronic Circuits and Systems

ISBN

978-1-4244-6610-8

ISSN

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e-ISSN

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Počet stran výsledku

2

Strana od-do

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Název nakladatele

Institute of Electrical and Electronics Engineers

Místo vydání

Vienna

Místo konání akce

Vienna

Datum konání akce

14. 4. 2010

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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