Cover Image

Reducing the gaussian blur artifact from ct medical images by employing a combination of sharpening filters and iterative deblurring algorithms

Obtained images through imaging systems are considered as degraded versions of the original view. Computed Tomography (CT) images have different types of degradations such as noise, blur and contrast imperfections. This paper handles the issue of deblurring CT medical images affected by Gaussian bl...

Full description

Saved in:
Bibliographic Details
Main Authors: Al-Ameen, Zohair, Sulong, Ghazali, Md. Johar, Md. Gapar
Format: Article
Published: JATIT 2012
Subjects:
T Technology
Online Access:http://eprints.utm.my/id/eprint/47458/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.47458
record_format eprints
spelling my.utm.474582019-04-25T01:21:38Z http://eprints.utm.my/id/eprint/47458/ Reducing the gaussian blur artifact from ct medical images by employing a combination of sharpening filters and iterative deblurring algorithms Al-Ameen, Zohair Sulong, Ghazali Md. Johar, Md. Gapar T Technology Obtained images through imaging systems are considered as degraded versions of the original view. Computed Tomography (CT) images have different types of degradations such as noise, blur and contrast imperfections. This paper handles the issue of deblurring CT medical images affected by Gaussian blur. Image deblurring is the procedure of decreasing the blur amount and grant the filtered image with an overall sharpened form. In this paper, the authors considered the Laplacian sharpening filter and the iterative Richardson – Lucy algorithm, and implemented a mixture of these two techniques to process the CT medical images. The suggested technique is applied to medical images that are synthetically and naturally degraded by blur. Moreover, an evaluation between the proposed combination and each employed technique is provided, along with the accuracy calculation using the universal image quality index (UIQI). JATIT 2012 Article PeerReviewed Al-Ameen, Zohair and Sulong, Ghazali and Md. Johar, Md. Gapar (2012) Reducing the gaussian blur artifact from ct medical images by employing a combination of sharpening filters and iterative deblurring algorithms. Journal of Theoretical and Applied Information Technology, 46 (1). pp. 31-36. ISSN 1992-8645
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic T Technology
spellingShingle T Technology
Al-Ameen, Zohair
Sulong, Ghazali
Md. Johar, Md. Gapar
Reducing the gaussian blur artifact from ct medical images by employing a combination of sharpening filters and iterative deblurring algorithms
description Obtained images through imaging systems are considered as degraded versions of the original view. Computed Tomography (CT) images have different types of degradations such as noise, blur and contrast imperfections. This paper handles the issue of deblurring CT medical images affected by Gaussian blur. Image deblurring is the procedure of decreasing the blur amount and grant the filtered image with an overall sharpened form. In this paper, the authors considered the Laplacian sharpening filter and the iterative Richardson – Lucy algorithm, and implemented a mixture of these two techniques to process the CT medical images. The suggested technique is applied to medical images that are synthetically and naturally degraded by blur. Moreover, an evaluation between the proposed combination and each employed technique is provided, along with the accuracy calculation using the universal image quality index (UIQI).
format Article
author Al-Ameen, Zohair
Sulong, Ghazali
Md. Johar, Md. Gapar
author_facet Al-Ameen, Zohair
Sulong, Ghazali
Md. Johar, Md. Gapar
author_sort Al-Ameen, Zohair
title Reducing the gaussian blur artifact from ct medical images by employing a combination of sharpening filters and iterative deblurring algorithms
title_short Reducing the gaussian blur artifact from ct medical images by employing a combination of sharpening filters and iterative deblurring algorithms
title_full Reducing the gaussian blur artifact from ct medical images by employing a combination of sharpening filters and iterative deblurring algorithms
title_fullStr Reducing the gaussian blur artifact from ct medical images by employing a combination of sharpening filters and iterative deblurring algorithms
title_full_unstemmed Reducing the gaussian blur artifact from ct medical images by employing a combination of sharpening filters and iterative deblurring algorithms
title_sort reducing the gaussian blur artifact from ct medical images by employing a combination of sharpening filters and iterative deblurring algorithms
publisher JATIT
publishDate 2012
url http://eprints.utm.my/id/eprint/47458/
_version_ 1643652321481064448
score 13.211869

Similar Items