Graphics processor programming to speed up iterative image processing algorithms
Backprojection is an algorithm for calculating an estimation of an object given the data of its computer tomographic scan. The standard algorithm currently applied by most programs is only using the CPU as computational object, what takes tenth of minutes, which is fairly slow for industrial standar...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Final Year Project |
Language: | English |
Published: |
2012
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/48744 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-48744 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-487442023-03-03T20:40:53Z Graphics processor programming to speed up iterative image processing algorithms Fich, Sven School of Computer Engineering Ramakrishna Kakarala DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Backprojection is an algorithm for calculating an estimation of an object given the data of its computer tomographic scan. The standard algorithm currently applied by most programs is only using the CPU as computational object, what takes tenth of minutes, which is fairly slow for industrial standards. This paper is concerned with the improvement of the backprojection algorithm by exploiting the highly parallelizable nature of the algorithm and increasing the computation time by adding the internal GPU as computational unit. Bachelor of Engineering (Computer Science) 2012-05-09T01:44:23Z 2012-05-09T01:44:23Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/48744 en Nanyang Technological University 42 p. application/pdf |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision |
spellingShingle |
DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Fich, Sven Graphics processor programming to speed up iterative image processing algorithms |
description |
Backprojection is an algorithm for calculating an estimation of an object given the data of its computer tomographic scan. The standard algorithm currently applied by most programs is only using the CPU as computational object, what takes tenth of minutes, which is fairly slow for industrial standards. This paper is concerned with the improvement of the backprojection algorithm by exploiting the highly parallelizable nature of the algorithm and increasing the computation time by adding the internal GPU as computational unit. |
author2 |
School of Computer Engineering |
author_facet |
School of Computer Engineering Fich, Sven |
format |
Final Year Project |
author |
Fich, Sven |
author_sort |
Fich, Sven |
title |
Graphics processor programming to speed up iterative image processing algorithms |
title_short |
Graphics processor programming to speed up iterative image processing algorithms |
title_full |
Graphics processor programming to speed up iterative image processing algorithms |
title_fullStr |
Graphics processor programming to speed up iterative image processing algorithms |
title_full_unstemmed |
Graphics processor programming to speed up iterative image processing algorithms |
title_sort |
graphics processor programming to speed up iterative image processing algorithms |
publishDate |
2012 |
url |
http://hdl.handle.net/10356/48744 |
_version_ |
1759856123062517760 |