Gradient image generator hardware/software co-design

This project proposes a software and hardware architecture for computing image gradients in order to reduce the input image size. The only way to transfer data in real time using lower speed wireless communication systems is to reduce the frame size; if a 24bit image is binarized the size will be re...

Full description

Saved in:
Bibliographic Details
Main Author: Haghi, Abbas
Format: Thesis
Language:English
Published: 2012
Subjects:
Online Access:http://eprints.utm.my/id/eprint/32120/5/AbbasHaghiMFKE2012.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-utm-ep.32120
record_format uketd_dc
spelling my-utm-ep.321202017-09-30T05:43:58Z Gradient image generator hardware/software co-design 2012-07 Haghi, Abbas T Technology (General) This project proposes a software and hardware architecture for computing image gradients in order to reduce the input image size. The only way to transfer data in real time using lower speed wireless communication systems is to reduce the frame size; if a 24bit image is binarized the size will be reduced 24 times. In this project the Canny algorithm is analyzed and written in Matlab and C programming language for NiosII CPU. Then it is implemented in a Field Programmable Gate Array (FPGA) hardware and the timing result for every step is measured. Based on these timing results, a final co-design is proposed. The output image after processing is a binary image that is at least 24 times smaller than the original image. For a sample 98�183, 24bit image and a working frequency equal to 50MHz, total logic elements for final co-design increased about 4 times of software design, but execution time in co-design architecture is 19 times faster than software. The hardware implementation in this paper is done on Altera CycloneII FPGA board. 2012-07 Thesis http://eprints.utm.my/id/eprint/32120/ http://eprints.utm.my/id/eprint/32120/5/AbbasHaghiMFKE2012.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:69664?site_name=Restricted Repository masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic T Technology (General)
spellingShingle T Technology (General)
Haghi, Abbas
Gradient image generator hardware/software co-design
description This project proposes a software and hardware architecture for computing image gradients in order to reduce the input image size. The only way to transfer data in real time using lower speed wireless communication systems is to reduce the frame size; if a 24bit image is binarized the size will be reduced 24 times. In this project the Canny algorithm is analyzed and written in Matlab and C programming language for NiosII CPU. Then it is implemented in a Field Programmable Gate Array (FPGA) hardware and the timing result for every step is measured. Based on these timing results, a final co-design is proposed. The output image after processing is a binary image that is at least 24 times smaller than the original image. For a sample 98�183, 24bit image and a working frequency equal to 50MHz, total logic elements for final co-design increased about 4 times of software design, but execution time in co-design architecture is 19 times faster than software. The hardware implementation in this paper is done on Altera CycloneII FPGA board.
format Thesis
qualification_level Master's degree
author Haghi, Abbas
author_facet Haghi, Abbas
author_sort Haghi, Abbas
title Gradient image generator hardware/software co-design
title_short Gradient image generator hardware/software co-design
title_full Gradient image generator hardware/software co-design
title_fullStr Gradient image generator hardware/software co-design
title_full_unstemmed Gradient image generator hardware/software co-design
title_sort gradient image generator hardware/software co-design
granting_institution Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department Faculty of Electrical Engineering
publishDate 2012
url http://eprints.utm.my/id/eprint/32120/5/AbbasHaghiMFKE2012.pdf
_version_ 1747815926223339520