Hardware/software co-design for real time embedded image processing: A case study

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Many image processing applications need real time performance, while having restrictions of size, weight and power consumption. These include a wide range of embedded systems from remote sensing applications to mobile phones. FPGA-based solutions are common for these applications, their main drawbac...

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Detalles Bibliográficos
Autores principales: Pedre, S., Krajník, T., Todorovich, E., Borensztejn, P.
Formato: Artículo publishedVersion
Lenguaje:Inglés
Publicado: 2012
Materias:
FPGA
hardware/software co-design methodology
real time image processing
robotics
Co-design methodology
Development time
Hardware acceleration
Hardware/software co-design
Image processing - methods
Image processing applications
Multiple robot
PC-based
Pixel images
Real time
Real time performance
Real-time image processing
Remote sensing applications
Software project
Software solution
Solution process
Computer vision
Field programmable gate arrays (FPGA)
Global system for mobile communications
Hardware
Image analysis
Remote sensing
Robotics
Embedded systems
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_03029743_v7441LNCS_n_p599_Pedre
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id paperaa:paper_03029743_v7441LNCS_n_p599_Pedre
record_format dspace
spelling paperaa:paper_03029743_v7441LNCS_n_p599_Pedre2023-06-12T16:47:24Z Hardware/software co-design for real time embedded image processing: A case study Lect. Notes Comput. Sci. 2012;7441 LNCS:599-606 Pedre, S. Krajník, T. Todorovich, E. Borensztejn, P. FPGA hardware/software co-design methodology real time image processing robotics Co-design methodology Development time Hardware acceleration Hardware/software co-design Image processing - methods Image processing applications Multiple robot PC-based Pixel images Real time Real time performance Real-time image processing Remote sensing applications Software project Software solution Solution process Computer vision Field programmable gate arrays (FPGA) Global system for mobile communications Hardware Image analysis Remote sensing Robotics Embedded systems Many image processing applications need real time performance, while having restrictions of size, weight and power consumption. These include a wide range of embedded systems from remote sensing applications to mobile phones. FPGA-based solutions are common for these applications, their main drawback being long development time. In this work a co-design methodology for processor-centric embedded systems with hardware acceleration using FPGAs is applied to an image processing method for localization of multiple robots. The goal of the methodology is to achieve a real-time embedded solution using hardware acceleration, but with development time similar to software projects. The final embedded co-designed solution processes 1600×1200 pixel images at a rate of 25 fps, achieving a 12.6× acceleration from the original software solution. This solution runs with a comparable speed as up-to-date PC-based systems, and it is smaller, cheaper and demands less power. © 2012 Springer-Verlag. Fil:Pedre, S. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2012 info:eu-repo/semantics/article info:ar-repo/semantics/artículo info:eu-repo/semantics/publishedVersion application/pdf eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_03029743_v7441LNCS_n_p599_Pedre
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
language Inglés
orig_language_str_mv eng
topic FPGA
hardware/software co-design methodology
real time image processing
robotics
Co-design methodology
Development time
Hardware acceleration
Hardware/software co-design
Image processing - methods
Image processing applications
Multiple robot
PC-based
Pixel images
Real time
Real time performance
Real-time image processing
Remote sensing applications
Software project
Software solution
Solution process
Computer vision
Field programmable gate arrays (FPGA)
Global system for mobile communications
Hardware
Image analysis
Remote sensing
Robotics
Embedded systems
spellingShingle FPGA
hardware/software co-design methodology
real time image processing
robotics
Co-design methodology
Development time
Hardware acceleration
Hardware/software co-design
Image processing - methods
Image processing applications
Multiple robot
PC-based
Pixel images
Real time
Real time performance
Real-time image processing
Remote sensing applications
Software project
Software solution
Solution process
Computer vision
Field programmable gate arrays (FPGA)
Global system for mobile communications
Hardware
Image analysis
Remote sensing
Robotics
Embedded systems
Pedre, S.
Krajník, T.
Todorovich, E.
Borensztejn, P.
Hardware/software co-design for real time embedded image processing: A case study
topic_facet FPGA
hardware/software co-design methodology
real time image processing
robotics
Co-design methodology
Development time
Hardware acceleration
Hardware/software co-design
Image processing - methods
Image processing applications
Multiple robot
PC-based
Pixel images
Real time
Real time performance
Real-time image processing
Remote sensing applications
Software project
Software solution
Solution process
Computer vision
Field programmable gate arrays (FPGA)
Global system for mobile communications
Hardware
Image analysis
Remote sensing
Robotics
Embedded systems
description Many image processing applications need real time performance, while having restrictions of size, weight and power consumption. These include a wide range of embedded systems from remote sensing applications to mobile phones. FPGA-based solutions are common for these applications, their main drawback being long development time. In this work a co-design methodology for processor-centric embedded systems with hardware acceleration using FPGAs is applied to an image processing method for localization of multiple robots. The goal of the methodology is to achieve a real-time embedded solution using hardware acceleration, but with development time similar to software projects. The final embedded co-designed solution processes 1600×1200 pixel images at a rate of 25 fps, achieving a 12.6× acceleration from the original software solution. This solution runs with a comparable speed as up-to-date PC-based systems, and it is smaller, cheaper and demands less power. © 2012 Springer-Verlag.
format Artículo
Artículo
publishedVersion
author Pedre, S.
Krajník, T.
Todorovich, E.
Borensztejn, P.
author_facet Pedre, S.
Krajník, T.
Todorovich, E.
Borensztejn, P.
author_sort Pedre, S.
title Hardware/software co-design for real time embedded image processing: A case study
title_short Hardware/software co-design for real time embedded image processing: A case study
title_full Hardware/software co-design for real time embedded image processing: A case study
title_fullStr Hardware/software co-design for real time embedded image processing: A case study
title_full_unstemmed Hardware/software co-design for real time embedded image processing: A case study
title_sort hardware/software co-design for real time embedded image processing: a case study
publishDate 2012
url http://hdl.handle.net/20.500.12110/paper_03029743_v7441LNCS_n_p599_Pedre
work_keys_str_mv AT pedres hardwaresoftwarecodesignforrealtimeembeddedimageprocessingacasestudy
AT krajnikt hardwaresoftwarecodesignforrealtimeembeddedimageprocessingacasestudy
AT todoroviche hardwaresoftwarecodesignforrealtimeembeddedimageprocessingacasestudy
AT borensztejnp hardwaresoftwarecodesignforrealtimeembeddedimageprocessingacasestudy
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