Detail publikace

Image Processing Methods Optimization by Means of GPU Computing

ŠKORPIL, V. KOUBEK, T. ENDRLE, P.

Originální název

Image Processing Methods Optimization by Means of GPU Computing

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Optimization of computer resources allocation is crucial for real-time image processing applications. One of the optimization possibilities is the use of GPU (Graphics Processing Unit) instead of CPU for computing. The article explains augmented reality application (AuRel) and the possibility of speeding-up the image pre-processing phase. Further, two image processing algorithms – threshold and convolution are tested. These algorithms are tested in various implementations from naive code performed on CPU to optimized code running on GPU.

Klíčová slova

Image processing, GPU (Graphics Processing Unit), GPGPU, CUDA, OpenCL, Augmented Reality

Autoři

ŠKORPIL, V.; KOUBEK, T.; ENDRLE, P.

Rok RIV

2012

Vydáno

14. 7. 2012

Nakladatel

WSEAS

Místo

Kos Island, Greece

ISBN

978-1-61804-109-8

Kniha

Recent Researches in Communications and Computers

Číslo edice

1

Strany od

95

Strany do

100

Strany počet

6

BibTex

@inproceedings{BUT93517,
  author="Vladislav {Škorpil} and Tomáš {Koubek} and Pavel {Endrle}",
  title="Image Processing Methods Optimization by Means of GPU Computing",
  booktitle="Recent Researches in Communications and Computers",
  year="2012",
  number="1",
  pages="95--100",
  publisher="WSEAS",
  address="Kos Island, Greece",
  isbn="978-1-61804-109-8"
}