Research Article
Article:Image De-noising by Various Filters for Different Noise
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 9 - Issue 4 |
| Published: November 2010 |
| Authors: Pawan Patidar, Sumit Srivastava |
10.5120/1370-1846
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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 },
year = { 2010 },
volume = { 9 },
number = { 4 },
pages = { 45-50 },
doi = { 10.5120/1370-1846 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2010
%A Pawan Patidar
%A Sumit Srivastava
%T Article:Image De-noising by Various Filters for Different Noise%T
%J International Journal of Computer Applications
%V 9
%N 4
%P 45-50
%R 10.5120/1370-1846
%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.
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