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

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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Autor principal:	Pedre, Sol
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:	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v7441LNCS_n_p599_Pedre 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	paper:paper_03029743_v7441LNCS_n_p599_Pedre
record_format	dspace
spelling	paper:paper_03029743_v7441LNCS_n_p599_Pedre2023-06-08T15:28:46Z Hardware/software co-design for real time embedded image processing: A case study Pedre, Sol 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 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v7441LNCS_n_p599_Pedre 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)
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, Sol 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.
author	Pedre, Sol
author_facet	Pedre, Sol
author_sort	Pedre, Sol
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	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v7441LNCS_n_p599_Pedre http://hdl.handle.net/20.500.12110/paper_03029743_v7441LNCS_n_p599_Pedre
work_keys_str_mv	AT pedresol hardwaresoftwarecodesignforrealtimeembeddedimageprocessingacasestudy
_version_	1768544131405053952

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

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