DSpace@nitr >
National Institue of Technology- Rourkela >
Conference Papers >

Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/500

Full metadata record

DC FieldValueLanguage
contributor.authorSa, Pankaj K-
contributor.authorMajhi, B-
contributor.authorPanda, G-
identifier.citationIEEE International Fuzzy Systems Conference, 23-26 July 2007 P 1-4en
descriptionCopyright for this article belongs to IEEEen
description.abstractIn this work an improved scheme for eliminating impulsive noise of varying strengths from corrupted images is proposed. A neural network is employed to classify the corrupted and non-corrupted pixels. Filtering is only carried out on corrupted pixels keeping the non-corrupted ones intact. Emphasis has been put on selection of relevant input and training patterns. With appropriate choice of patterns the assiduous task of training has become effortless as well as the noise detection become reliable. Comparative analysis with competent schemes on standard images at different noise conditions shows that the proposed scheme outperforms its counterparts.en
format.extent1598861 bytes-
titleImproved Adaptive Impulsive Noise Suppressionen
Appears in Collections:Conference Papers

Files in This Item:

File Description SizeFormat
pankaj-conf1.pdf1561KbAdobe PDFView/Open

Show simple item record

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


Powered by DSpace Feedback