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Neural based Post Processing Filtering Technique for Image Quality Enhancement

by R.Pushpavalli, G.Sivaradje, E.Srinivasan, S.Himavathi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 38 - Number 3
Year of Publication: 2012
Authors: R.Pushpavalli, G.Sivaradje, E.Srinivasan, S.Himavathi
10.5120/4671-6787

R.Pushpavalli, G.Sivaradje, E.Srinivasan, S.Himavathi . Neural based Post Processing Filtering Technique for Image Quality Enhancement. International Journal of Computer Applications. 38, 3 ( January 2012), 38-46. DOI=10.5120/4671-6787

@article{ 10.5120/4671-6787,
author = { R.Pushpavalli, G.Sivaradje, E.Srinivasan, S.Himavathi },
title = { Neural based Post Processing Filtering Technique for Image Quality Enhancement },
journal = { International Journal of Computer Applications },
issue_date = { January 2012 },
volume = { 38 },
number = { 3 },
month = { January },
year = { 2012 },
issn = { 0975-8887 },
pages = { 38-46 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume38/number3/4671-6787/ },
doi = { 10.5120/4671-6787 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:24:38.583774+05:30
%A R.Pushpavalli
%A G.Sivaradje
%A E.Srinivasan
%A S.Himavathi
%T Neural based Post Processing Filtering Technique for Image Quality Enhancement
%J International Journal of Computer Applications
%@ 0975-8887
%V 38
%N 3
%P 38-46
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Digital images are often affected by impulse noise during image acquisition and/or transmission over communication channel. A Neural Based Post Processing Technique for Image Quality Enhancement (NBPPTIQE) for enhancing digital images corrupted by impulse noise is proposed in this paper. The proposed filter is an intelligent filter obtained by aptly combining a Nonlinear Filter (NF), Modified Canny Edge Detector (MCED) and a Feed forward Adaptive Neural (FAN) Network. The internal parameters of the Feed Forward Neural Network are adaptively optimized by training of well known images. The most distinctive feature of the proposed filter offers good line, edge, and fine detail preservation performance and also effectively removes impulse noise from the image. Extensive simulation results show that the proposed Post Processing Technique can be used for efficient enhancement of digital images corrupted by impulse noise without distorting useful information in the image. The performance of proposed filter is compared with median based filter and Neural Filter and shown to be more effective in terms of eliminating impulse noise and preserving edges and fine details of digital images.

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Index Terms

Computer Science
Information Sciences

Keywords

Feed forward Adaptive Neural Network Impulse Noise Nonlinear Filter Order Statistics Filters and Post Processing Technique

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