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Reseach Article

A Statistical Parametric Analysis on Various Filters Applied on Different Noises for MRI and USG Images

by Manasi Rana, Jasdeep Kaur
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 120 - Number 8
Year of Publication: 2015
Authors: Manasi Rana, Jasdeep Kaur
10.5120/21246-4045

Manasi Rana, Jasdeep Kaur . A Statistical Parametric Analysis on Various Filters Applied on Different Noises for MRI and USG Images. International Journal of Computer Applications. 120, 8 ( June 2015), 16-25. DOI=10.5120/21246-4045

@article{ 10.5120/21246-4045,
author = { Manasi Rana, Jasdeep Kaur },
title = { A Statistical Parametric Analysis on Various Filters Applied on Different Noises for MRI and USG Images },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 120 },
number = { 8 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 16-25 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume120/number8/21246-4045/ },
doi = { 10.5120/21246-4045 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:05:41.008688+05:30
%A Manasi Rana
%A Jasdeep Kaur
%T A Statistical Parametric Analysis on Various Filters Applied on Different Noises for MRI and USG Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 120
%N 8
%P 16-25
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents the comprehensive study of the various filters and their comparative analysis using statistical parameters in digital image processing. We have simulated the various statistical parameters and viewed their results using plots. We have done their comparative analysis with the help of MATLAB simulation to ease the selection of best filter for a specific noise introduced in MRI and USG image.

References
  1. R. C. Gonzalez and R. E. Woods, Digital Image Processing, 2nd ed. Englewood Cliffs, NJ: Prentice-Hall; 2002.
  2. S. Kent, O. N. Oçan, and T. Ensari. "Speckle Reduction of Synthetic Aperture Radar Images Using Wavelet Filtering". in ITG, VDE, FGAN, DLR, EADS, astrium. EUSAR 2004 Proceedings, 5th European Conference on Synthetic Aperture Radar, May 25–27, 2004, Ulm, Germany.
  3. Charles Boncelet (2005). "Image Noise Models". in Alan C. Bovik. Handbook of Image and Video Processing.
  4. S. Kumar, P. Kumar, M. Gupta and A. K. Nagawat, "Performance Comparison of Median and Wiener Filter in Image De-noising," International Journal of Computer Applications 12(4):27–31, December 2010.
  5. B. Goossens, A. Pizurica, and W. Philips. Image denoising using mixtures of projected Gaussian scale mixtures, IEEE Transactions on Image Processing, Vol. 18, Issue. 8, pp. 1689-1702, 2009.
  6. R. C. Gonzalez and R. E. Woods, Digital Image Processing, 2nd ed. Englewood Cliffs, NJ: Prentice-Hall; 2002.
  7. A. K. Jain, Fundamentals of Digital Image Processing. , Englewood Cliffs, NJ: Prentice Hall; 1989.
  8. S. Arivazhagan, S. Deivalakshmi, K. Kannan, B. N. Gajbhiye, C. Muralidhar, Sijo N Lukose, M. P. Subramanian, "Performance Analysis of Wavelet Filters for Image Denoising", Advances in Computational Sciences and Technology, Vol. 1 No. 1 (2007), pp. 1–10, ISSN 0973-6107.
Index Terms

Computer Science
Information Sciences

Keywords

Statistical Parameters noise filters MRI and USG image