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Performance Evaluation of different Image Filtering Algorithms using Image Quality Assessment

by M.Prema Kumar, P.H.S.Tejo Murthy, P.Rajesh Kumar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 18 - Number 6
Year of Publication: 2011
Authors: M.Prema Kumar, P.H.S.Tejo Murthy, P.Rajesh Kumar
10.5120/2289-2972

M.Prema Kumar, P.H.S.Tejo Murthy, P.Rajesh Kumar . Performance Evaluation of different Image Filtering Algorithms using Image Quality Assessment. International Journal of Computer Applications. 18, 6 ( March 2011), 20-22. DOI=10.5120/2289-2972

@article{ 10.5120/2289-2972,
author = { M.Prema Kumar, P.H.S.Tejo Murthy, P.Rajesh Kumar },
title = { Performance Evaluation of different Image Filtering Algorithms using Image Quality Assessment },
journal = { International Journal of Computer Applications },
issue_date = { March 2011 },
volume = { 18 },
number = { 6 },
month = { March },
year = { 2011 },
issn = { 0975-8887 },
pages = { 20-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume18/number6/2289-2972/ },
doi = { 10.5120/2289-2972 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:05:35.794989+05:30
%A M.Prema Kumar
%A P.H.S.Tejo Murthy
%A P.Rajesh Kumar
%T Performance Evaluation of different Image Filtering Algorithms using Image Quality Assessment
%J International Journal of Computer Applications
%@ 0975-8887
%V 18
%N 6
%P 20-22
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The quality assessment of images is meaningful for most video and images applications. Recently a new metric called Region of Interest structure similarity index (ROI-SSIM) is proposed for assessing image quality with better reflection to human visual characteristics than traditional image quality assessment methods. In this paper, five different filtering algorithms are compared based on the ability to reconstruct noise affected images using ROI-SSIM. Experimental results give us the quality assessment of filtering algorithms based on region of interest.

References
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  8. Yanrui Liu, Han Sun, Yingqi Di and YanZhou, “ A New Region of Interest Based Image Quality Assessment Algotithm”, 2010 IEEE.
Index Terms

Computer Science
Information Sciences

Keywords

Image Quality Assessment Region of Interest Image Restoration Image Processing

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