Logo des Repositoriums
 

An Image Processing Operator Language for Design and Synthesis of Smart Camera Architectures

dc.contributor.authorHartmann, Christian
dc.contributor.authorHäublein, Konrad
dc.contributor.authorPfundt, Benjamin
dc.contributor.authorReichenbach, Marc
dc.contributor.authorFey, Dietmar
dc.date.accessioned2020-03-11T00:06:25Z
dc.date.available2020-03-11T00:06:25Z
dc.date.issued2017
dc.description.abstractRecent trends showed a rise of heterogeneous hardware architectures for image processing applications. Due to the usage of these camera systems in the embedded field, the reduction of area and power consumption became essential. Standard CPUs are not suitable in the embedded field, because of their lavish commerce regarding power and area consumption. Embedded applications have strict constraints regarding these parameters. Therefore, optimized and specialized hardware is required resulting in a heterogeneous system architecture. Designing such a system is a challenging and error-prone task. In the design process, software and hardware skills are needed. Programming skills in different programming and design languages are necessary. For reducing the complexity a common language which can easily be mapped on different hardware architectures combined with a synthesis framework is needed. With the Image Processing Operator Language (IPOL) the description of heterogeneous systems with one language become possible. The synthesis framework called Image Processing Architecture Synthesis (IPAS) completes the domain-specific language (DSL) as an underlying mapping methodology.en
dc.identifier.pissn0177-0454
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/31946
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V., Fachgruppe PARS
dc.relation.ispartofPARS-Mitteilungen: Vol. 34, Nr. 1
dc.titleAn Image Processing Operator Language for Design and Synthesis of Smart Camera Architecturesen
dc.typeText/Journal Article
gi.citation.endPage113
gi.citation.publisherPlaceBerlin
gi.citation.startPage103

Dateien

Originalbündel
1 - 1 von 1
Vorschaubild nicht verfügbar
Name:
PARS-2017_paper_9.pdf
Größe:
5.22 MB
Format:
Adobe Portable Document Format