Počet záznamů: 1

Blind image deconvolution algorithm on NVIDIA CUDA platform

  1. 1.
    0342300 - UTIA-B 2011 RIV AT eng C - Konferenční příspěvek (zahraniční konf.)
    Mazanec, Tomáš - Heřmánek, Antonín - Kamenický, Jan
    Blind image deconvolution algorithm on NVIDIA CUDA platform.
    Proceedings of the 13th IEEE Symposium on Design and Diagnostics of Electronic Circuits and Systems. Vienna: Institute of Electrical and Electronics Engineers, 2010, s. 125-126. ISBN 978-1-4244-6610-8.
    [The 13th IEEE Symposium on Design and Diagnostics of Electronic Circuits and Systems. Vienna (AT), 14.04.2010-16.04.2010]
    Grant CEP: GA MŠk 7H09005
    Výzkumný záměr: CEZ:AV0Z10750506
    Klíčová slova: convolution * CUDA * SIMD * HW implementation
    Kód oboru RIV: JC - Počítačový hardware a software
    http://library.utia.cas.cz/separaty/2010/ZS/mazanec-blind image deconvolution algorithm on nvidia cuda platform.pdf http://library.utia.cas.cz/separaty/2010/ZS/mazanec-blind image deconvolution algorithm on nvidia cuda platform.pdf

    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 of the 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).
    Trvalý link: http://hdl.handle.net/11104/0185066