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JOŠTH, R.; ANTIKAINEN, J.; HAVEL, J.; HEROUT, A.; ZEMČÍK, P.; HAUTA-KASARI, M.
Original Title
Real-Time PCA Calculation for Spectral Imaging (using SIMD and GP-GPU)
English Title
Type
Peer-reviewed article not indexed in WoS or Scopus
Original Abstract
This article presents two optimized implementations of the PCA algorithm, primarily targeted on spectral image analysis in real time. One of them utilizes the SSE instruction set of contemporary CPUs, the other one runs on graphics processors (GPUs), using the CUDA environment. The implementations are evaluated and compared with a multithreaded C implementation compiled by an optimizing compiler and the results show speed-ups of around 10x which allows for using PCA on RGB and spectral images in real time. The discussed implementations are made available in a dynamically linked library, including a MATLAB plug-in interface so that they can be used by the professional public.
English abstract
Keywords
Spectral Imaging; PCA; GPU; CUDA; SSE
Key words in English
Authors
RIV year
2013
Released
23.01.2012
ISBN
1861-8200
Periodical
Journal of Real-Time Image Processing
Volume
7
Number
2
State
Federal Republic of Germany
Pages from
95
Pages to
103
Pages count
9
BibTex
@article{BUT50549, author="Radovan {Jošth} and Jukka {Antikainen} and Jiří {Havel} and Adam {Herout} and Pavel {Zemčík} and Markku {Hauta-Kasari}", title="Real-Time PCA Calculation for Spectral Imaging (using SIMD and GP-GPU)", journal="Journal of Real-Time Image Processing", year="2012", volume="7", number="2", pages="95--103", issn="1861-8200" }