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Improved Fuzzy Certainty Degree Filter for Image Restoration

by Vijaya Kumar Sagenela, C. Nagaraju
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 176 - Number 1
Year of Publication: 2017
Authors: Vijaya Kumar Sagenela, C. Nagaraju
10.5120/ijca2017915507

Vijaya Kumar Sagenela, C. Nagaraju . Improved Fuzzy Certainty Degree Filter for Image Restoration. International Journal of Computer Applications. 176, 1 ( Oct 2017), 14-19. DOI=10.5120/ijca2017915507

@article{ 10.5120/ijca2017915507,
author = { Vijaya Kumar Sagenela, C. Nagaraju },
title = { Improved Fuzzy Certainty Degree Filter for Image Restoration },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2017 },
volume = { 176 },
number = { 1 },
month = { Oct },
year = { 2017 },
issn = { 0975-8887 },
pages = { 14-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume176/number1/28516-2017915507/ },
doi = { 10.5120/ijca2017915507 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:41:21.922986+05:30
%A Vijaya Kumar Sagenela
%A C. Nagaraju
%T Improved Fuzzy Certainty Degree Filter for Image Restoration
%J International Journal of Computer Applications
%@ 0975-8887
%V 176
%N 1
%P 14-19
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The removal of impulse noise in images is an important research problem in image processing. In this paper, we propose a Fuzzy filter in two steps to restore corrupted images by salt and pepper noise. In the first step of the algorithm identifies the noise using the fuzzy certainty degree with the directional weighted difference, in the second step the noise pixel can be replaced by a weighted average of uncorrupted pixels. Experimental results show that the proposed algorithm is superior to the state of the art filters. The proposed method also shows to be robust to noise levels up to 90% while maintaining the main image details.

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Index Terms

Computer Science
Information Sciences

Keywords

Weighted average certainty degree fuzzy directional weighted difference impulse noise.

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