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An ANN Based Two Pass-Two Phase Adaptive Filtering of a Digital Image Corrupted by SPN

by Prakash Ch. Dash, Nachiketa Tarasia, Manoj Kumar Mishra, Sarita Das, G. B. Mund
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 40 - Number 11
Year of Publication: 2012
Authors: Prakash Ch. Dash, Nachiketa Tarasia, Manoj Kumar Mishra, Sarita Das, G. B. Mund
10.5120/5009-7328

Prakash Ch. Dash, Nachiketa Tarasia, Manoj Kumar Mishra, Sarita Das, G. B. Mund . An ANN Based Two Pass-Two Phase Adaptive Filtering of a Digital Image Corrupted by SPN. International Journal of Computer Applications. 40, 11 ( December 2012), 20-27. DOI=10.5120/5009-7328

@article{ 10.5120/5009-7328,
author = { Prakash Ch. Dash, Nachiketa Tarasia, Manoj Kumar Mishra, Sarita Das, G. B. Mund },
title = { An ANN Based Two Pass-Two Phase Adaptive Filtering of a Digital Image Corrupted by SPN },
journal = { International Journal of Computer Applications },
issue_date = { December 2012 },
volume = { 40 },
number = { 11 },
month = { December },
year = { 2012 },
issn = { 0975-8887 },
pages = { 20-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume40/number11/5009-7328/ },
doi = { 10.5120/5009-7328 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:27:48.533368+05:30
%A Prakash Ch. Dash
%A Nachiketa Tarasia
%A Manoj Kumar Mishra
%A Sarita Das
%A G. B. Mund
%T An ANN Based Two Pass-Two Phase Adaptive Filtering of a Digital Image Corrupted by SPN
%J International Journal of Computer Applications
%@ 0975-8887
%V 40
%N 11
%P 20-27
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Images get contaminated due to different noises at various stages of processing and Salt and Pepper is one such noise. The noise removal approach used for filtering mainly differs in their basic methodologies, but the purpose is to suppress different types and percentage of noise. Some of the filtering schemes replace those corrupted pixels by indentifying the positions of the corrupted pixels in the observed noisy image, with the help of a noise detector, whereas others remove all the pixels irrespective of corruption. This paper investigates the former method in denoising a digital image through incorporation of an adaptive threshold into the noise detection process. The adaptive threshold value thus obtained is based on the noisy image characteristics and their statistics using LeNN (Legendre Neural Network) and the patterns of input image are taken to train FLANN (Functional Link Artificial Neural Network) corrupted by SPN(Salt & Pepper noise). Comparative analysis on standard images at different noise percentage shows that the proposed scheme outperforms the existing schemes in terms of PSNR (peak signal to noise ratio). Thus, the proposed method named as “Two pass- Two phase adaptive filtering mechanism” is feasible and also makes it an efficient filter to restore the gray image fairly well preserving the quality of the filtered image, and also provides a better visual perception.

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Index Terms

Computer Science
Information Sciences

Keywords

MLP FLANN LeNN Salt & Pepper noise

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