Blind image deconvolution algorithm on NVIDIA CUDA platform
The result's identifiers
Result code in 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>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Blind image deconvolution algorithm on NVIDIA CUDA platform
Original language description
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).
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
<a href="/en/project/7H09005" target="_blank" >7H09005: SCAlable LOw Power Embedded platformS</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
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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Number of pages
2
Pages from-to
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Publisher name
Institute of Electrical and Electronics Engineers
Place of publication
Vienna
Event location
Vienna
Event date
Apr 14, 2010
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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