Universiti Teknologi Malaysia Institutional Repository

A novel Zohair filter for deblurring computed tomography medical images

Al-Ameen, Zohair and Sulong, Ghazali (2015) A novel Zohair filter for deblurring computed tomography medical images. International Journal of Imaging Systems and Technology, 25 (3). pp. 265-275. ISSN 0899-9457

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Official URL: http://dx.doi.org/10.1002/ima.22143

Abstract

Deblurring computed tomography (CT) images has been an active research topic in recent years because of the wide variety of challenges it offers. Hence, a novel filter is proposed in this article unveiling a simple, efficient, and fast deblurring process that involves few parameters, low calculations and does not utilize the undesirable iterative property or introduce the common deblurring problems. The newly proposed filter is validated on both real and synthetic blurred CT images to provide a sufficient understanding about its performance. Moreover, proper comparisons are made with high-profile deblurring methods, in which the results are evaluated using three reliable quality metrics of feature similarity index (FSIM), structural similarity (SSIM), and visual information fidelity in pixel domain (VIFP). The intensive experiments and performance evaluations exhibited the efficiency of the proposed filter, in that it outperformed all the comparative methods.

Item Type:Article
Uncontrolled Keywords:image deblurring, research topics
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computing
ID Code:55795
Deposited By: Practical Student
Deposited On:06 Oct 2016 04:09
Last Modified:15 Feb 2017 01:14

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