CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Performance Evaluation of different Image Filtering Algorithms using Image Quality Assessment

by M.Prema Kumar, P.H.S.Tejo Murthy, P.Rajesh Kumar
journal cover thumbnail

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
  1. F.VanderHeijden, Image Based Measurement Systems. NewYork: Wiley, 1994.
  2. K. Jain, Fundamentals of Digital Image Processing. Englewood Cliffs, NJ: Prentice-Hall, 1989.
  3. I.Pitas and A.N.Venetsanopoulos, Nonlinear Digital Filters: Principles and Applications. Norwell, MA: Kluwer, 1990.
  4. Rafael C. Gongalez, R.C.Woods, “Digital Speech and Image Processing”, Pearson Education,2009
  5. James C. Church, Yixin Chen, and Stephen V. Rice , “A Spatial Median Filter for Noise Removal in Digital Images“, 2008 IEEE.
  6. S.Indu , Chaveli Ramesh, “ A noise fading technique for images highly corrupted with impulse noise”, Proceedings of the ICCTA07 , IEEE.
  7. Z. Wang and A. C. Bovik, “A universal image quality index,” IEEE Signal Processing Letters, vol. 9, pp. 81–84, Mar. 2002.
  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

Powered by PhDFocusTM