DSpace@nitr >
National Institue of Technology- Rourkela >
Journal Articles >

Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/253

Full metadata record

DC FieldValueLanguage
contributor.authorMajhi, B-
contributor.authorFathi, M-
date.accessioned2006-03-03T09:13:19Z-
date.available2006-03-03T09:13:19Z-
date.issued2005-
identifier.citationJournal of Computer Science, Vol 1, Iss 3, P 332-336en
identifier.urihttp://hdl.handle.net/2080/253-
descriptionCopyright for this article belongs to Science Publicationsen
description.abstractWe present a novel non-linear scheme for image restoration based on neuro-detector using Functional Link Artificial Neural Network (FLANN) followed by an improved spatial filter. The method is applied to images corrupted by impulse noise with varying strengths and different noise probability. The neural detector is based on the concept of training or learning by examples. When trained properly, the detector used to detect impulse noise in any image degraded by impulse noise. Hence, the method is suitable for real time image restoration applications. The simulated results obtained from the proposed scheme outperforms existing approaches are highly satisfactory and it outperforms the earlier suggested methods in terms of residual NSR in restored images.en
format.extent1000045 bytes-
format.mimetypeapplication/pdf-
language.isoen-
publisherScience Publicationsen
titleFLANN Detector Based Filtering of Images Corrupted by Impulse Noiseen
typeArticleen
Appears in Collections:Journal Articles

Files in This Item:

File Description SizeFormat
majhi-jcs-2005-2.pdf976KbAdobe PDFView/Open

Show simple item record

All items in DSpace are protected by copyright, with all rights reserved.

 

Powered by DSpace Feedback