Impulsive Noise Detection Schemes for Selective Filtering in Images - Selective Filtering

by Mohapatra, Subrajeet
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Mohapatra, Subrajeet Impulsive Noise Detection Schemes for Selective Filtering in Images - Selective Filtering
Mohapatra, Subrajeet - Impulsive Noise Detection Schemes for Selective Filtering in Images - Selective Filtering

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Description

In this dissertation impulsive noise elimination methodologies are studied and four novel schemes are proposed. We have followed the two stage process of detection of noisy pixels followed by filtering of the same, in all our proposed schemes. Thus avoiding unnecessary filtration of non-noisy pixels. Threshold value is chosen adapting to the environment to make the detection process more efficient. Soft computing techniques are extensively used in the proposed techniques to make the threshold selection adaptive. Further we suggest an enhancement scheme under noisy conditions.

Contributors

Author:
Mohapatra, Subrajeet

Further information

Biography Artist:
Subrajeet Mohapatra is currently pursuing for Ph.D in the field of medical image processing at the National Institute of Technology Rourkela, India. He has contributed 5 research articles to different National and International Conferences.
Language:
English
Number of Pages:
116
Media Type:
Softcover
Publisher:
VDM Verlag Dr. Müller

Master Data

Product Type:
Paperback book
Release date:
7 May 2010
Package Dimensions:
0.224 x 0.147 x 0.008 m; 0.181 kg
GTIN:
09783639257236
DUIN:
AMDVMJUU8J5
£40.99
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