bibtype C - Conference Paper (international conference)
ARLID 0342301
utime 20240111140739.1
mtime 20100423235959.9
title (primary) (eng) Reconfigurable Hardware Objects for Image Processing on FPGAs
specification
page_count 2 s.
media_type www
serial
ARLID cav_un_epca*0342299
ISBN 978-1-4244-6610-8
title Proceedings of the 13th IEEE Symposium on Design and Diagnostics of Electronic Circuits and Systems
page_num 121-122
publisher
place Vienna
name Institute of Electrical and Electronics Engineers
year 2010
keyword Image Processing
keyword Reconfiguration
keyword Hardware Object
keyword FPGA
author (primary)
ARLID cav_un_auth*0225750
name1 Kloub
name2 Jan
full_dept (cz) Zpracování signálů
full_dept (eng) Department of Signal Processing
department (cz) ZS
department (eng) ZS
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0108102
name1 Honzík
name2 Petr
full_dept (cz) Zpracování signálů
full_dept Department of Signal Processing
department (cz) ZS
department ZS
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101077
name1 Daněk
name2 Martin
full_dept (cz) Zpracování signálů
full_dept Department of Signal Processing
department (cz) ZS
department ZS
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
source_type pdf
url http://library.utia.cas.cz/separaty/2010/ZS/kloub-reconfigurable hardware objects for image processing on fpgas.pdf
cas_special
project
project_id 7H09005
agency GA MŠk
ARLID cav_un_auth*0253180
research CEZ:AV0Z10750506
abstract (eng) Embedded systems are getting more complex; that is why the high level of abstraction is required during the development process. High abstraction methods simplify implementation of complex computation systems and shorten the time to market. This paper presents an implementation of a graphic computing element (GCE) which can be used as a runtime parametrized building block in image processing applications in FPGAs. In terms of the object oriented model GCE encapsulates its internal data representation and rules for their manipulation. Several basic image processing operations have been implemented (Sobel edge detection, Gauss, mean, etc. filtering). These operations are called as GCE methods. Because of high spatial dependency of image data in image processing, an efficient image data reuse method has been implemented.
action
ARLID cav_un_auth*0261516
name Proceedings of the 13th IEEE Symposium on Design and Diagnostics of Electronic Circuits and Systems
place Vienna
dates 14.04.2010-16.04.2010
country AT
reportyear 2011
RIV JC
permalink http://hdl.handle.net/11104/0185067
arlyear 2010
mrcbU56 pdf
mrcbU63 cav_un_epca*0342299 Proceedings of the 13th IEEE Symposium on Design and Diagnostics of Electronic Circuits and Systems 978-1-4244-6610-8 121 122 Proceedings of the 13th IEEE Symposium on Design and Diagnostics of Electronic Circuits and Systems Vienna Institute of Electrical and Electronics Engineers 2010