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Reseach Article

Article:Image De-noising by Various Filters for Different Noise

by Pawan Patidar, Sumit Srivastava
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 9 - Number 4
Year of Publication: 2010
Authors: Pawan Patidar, Sumit Srivastava
10.5120/1370-1846

Pawan Patidar, Sumit Srivastava . Article:Image De-noising by Various Filters for Different Noise. International Journal of Computer Applications. 9, 4 ( November 2010), 45-50. DOI=10.5120/1370-1846

@article{ 10.5120/1370-1846,
author = { Pawan Patidar, Sumit Srivastava },
title = { Article:Image De-noising by Various Filters for Different Noise },
journal = { International Journal of Computer Applications },
issue_date = { November 2010 },
volume = { 9 },
number = { 4 },
month = { November },
year = { 2010 },
issn = { 0975-8887 },
pages = { 45-50 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume9/number4/1370-1846/ },
doi = { 10.5120/1370-1846 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:57:48.840008+05:30
%A Pawan Patidar
%A Sumit Srivastava
%T Article:Image De-noising by Various Filters for Different Noise
%J International Journal of Computer Applications
%@ 0975-8887
%V 9
%N 4
%P 45-50
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image processing is basically the use of computer algorithms to perform image processing on digital images. Digital image processing is a part of digital signal processing. Digital image processing has many significant advantages over analog image processing. Image processing allows a much wider range of algorithms to be applied to the input data and can avoid problems such as the build-up of noise and signal distortion during processing of images. Wavelet transforms have become a very powerful tool for de-noising an image. One of the most popular methods is wiener filter. In this work four types of noise (Gaussian noise , Salt & Pepper noise, Speckle noise and Poisson noise) is used and image de-noising performed for different noise by Mean filter, Median filter and Wiener filter . Further results have been compared for all noises.

References
Index Terms

Computer Science
Information Sciences

Keywords

Wavelet Transform Gaussian noise Salt & Pepper noise Speckle noise Poisson noise Wiener Filter