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Reseach Article

Hybrid Filter for Gaussian Noise Removal with Edge Preservation

Published on May 2013 by Ali S. Awad
Recent Trends in Pattern Recognition and Image Analysis
Foundation of Computer Science USA
RTPRIA - Number 1
May 2013
Authors: Ali S. Awad

Ali S. Awad . Hybrid Filter for Gaussian Noise Removal with Edge Preservation. Recent Trends in Pattern Recognition and Image Analysis. RTPRIA, 1 (May 2013), 33-39.

author = { Ali S. Awad },
title = { Hybrid Filter for Gaussian Noise Removal with Edge Preservation },
journal = { Recent Trends in Pattern Recognition and Image Analysis },
issue_date = { May 2013 },
volume = { RTPRIA },
number = { 1 },
month = { May },
year = { 2013 },
issn = 0975-8887,
pages = { 33-39 },
numpages = 7,
url = { /specialissues/rtpria/number1/11800-1006/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Special Issue Article
%1 Recent Trends in Pattern Recognition and Image Analysis
%A Ali S. Awad
%T Hybrid Filter for Gaussian Noise Removal with Edge Preservation
%J Recent Trends in Pattern Recognition and Image Analysis
%@ 0975-8887
%N 1
%P 33-39
%D 2013
%I International Journal of Computer Applications

This paper proposes a new algorithm to remove Gaussian noise. The new method introduces two filters. The first one is linear filter that modifies the noisy and noisy-free pixels uniformly and regardless of the pixel location. The second one is non-linear filter, a direction-based filter used to re-estimate the first output, particularly the values of the edge pixels. Simulation results indicate that the proposed method restores images corrupted at different degrees of Gaussian noise and demonstrates the best performance compared to other methods, particularly for highly corrupted images in terms of PSNR or visual quality.

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Index Terms

Computer Science
Information Sciences


De-noising Gaussian Noise Triangular Filter Non-linear Filter