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Article:Performance Comparison of Median and Wiener Filter in Image De-noising

by Suresh Kumar, Papendra Kumar, Manoj Gupta, Ashok Kumar Nagawat
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 12 - Number 4
Year of Publication: 2010
Authors: Suresh Kumar, Papendra Kumar, Manoj Gupta, Ashok Kumar Nagawat
10.5120/1664-2241

Suresh Kumar, Papendra Kumar, Manoj Gupta, Ashok Kumar Nagawat . Article:Performance Comparison of Median and Wiener Filter in Image De-noising. International Journal of Computer Applications. 12, 4 ( December 2010), 27-31. DOI=10.5120/1664-2241

@article{ 10.5120/1664-2241,
author = { Suresh Kumar, Papendra Kumar, Manoj Gupta, Ashok Kumar Nagawat },
title = { Article:Performance Comparison of Median and Wiener Filter in Image De-noising },
journal = { International Journal of Computer Applications },
issue_date = { December 2010 },
volume = { 12 },
number = { 4 },
month = { December },
year = { 2010 },
issn = { 0975-8887 },
pages = { 27-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume12/number4/1664-2241/ },
doi = { 10.5120/1664-2241 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:00:50.895233+05:30
%A Suresh Kumar
%A Papendra Kumar
%A Manoj Gupta
%A Ashok Kumar Nagawat
%T Article:Performance Comparison of Median and Wiener Filter in Image De-noising
%J International Journal of Computer Applications
%@ 0975-8887
%V 12
%N 4
%P 27-31
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image filtering algorithms are applied on images to remove the different types of noise that are either present in the image during capturing or injected into the image during transmission. This paper deals with Performance Comparison of Median and Wiener Filters in Image de-noising for Gaussian noise, Salt & Pepper noise and Speckle noise.

References
  1. Wavelet domain image de-noising by thresholding and Wiener filtering. Kazubek, M. Signal Processing Letters IEEE, Volume: 10, Issue: 11, Nov. 2003 265 Vol.3.
  2. Wavelet Shrinkage and W.V.D.: A 10-minute Tour Donoho, D.L; (David L. Donoho's website)
  3. William K. Pratt, Digital Image Processing. Wiley,1991.
  4. Image Denoising using Wavelet Thresholding and Model Selection. Shi Zhong Image Processing, 2000,Proceedings, 2000 International Conference on, Volume: 3, 10-13 Sept. 2000 Pages: 262.
  5. Charles Boncelet (2005). "Image Noise Models". in Alan C. Bovik. Handbook of Image and Video Processing.
  6. Sedef Kent, Osman Nuri Oçan, and Tolga Ensari (2004). "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.
  7. James C. Church, Yixin Chen, and Stephen V. Rice Department of Computer and Information Science, University of Mississippi, “A Spatial Median Filter for Noise Removal in Digital Images”, IEEE, page(s): 618- 623, 2008.
Index Terms

Computer Science
Information Sciences

Keywords

Gaussian noise Salt & Pepper noise Speckle noise Median filter Wiener Filter

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