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18th International Conference on Pattern Recognition (ICPR'06) Volume 3
Adaptive Region Growing Impulse Noise Estimator for Color Images
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
ASCII Text
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Mieng Quoc Phu, Peter Eric Tischer, Hon Ren Wu, "Adaptive Region Growing Impulse Noise Estimator for Color Images," Pattern Recognition, International Conference on, vol. 3, pp. 786-789, 18th International Conference on Pattern Recognition (ICPR'06) Volume 3, 2006.
 
 
BibTex
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@article{ 10.1109/ICPR.2006.223,
author = {Mieng Quoc Phu and Peter Eric Tischer and Hon Ren Wu},
title = {Adaptive Region Growing Impulse Noise Estimator for Color Images},
journal ={Pattern Recognition, International Conference on},
volume = {3},
year = {2006},
issn = {1051-4651},
pages = {786-789},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.223},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Adaptive Region Growing Impulse Noise Estimator for Color Images
SN - 1051-4651
SP786
EP789
A1 - Mieng Quoc Phu,
A1 - Peter Eric Tischer,
A1 - Hon Ren Wu,
PY - 2006
KW - null
VL - 3
JA - Pattern Recognition, International Conference on
ER -
 
Mieng Quoc Phu, Monash University, Vic, Australia.
Peter Eric Tischer, Monash University, Vic, Australia.
Hon Ren Wu, RMIT University, Vic, Australia.
In this paper, a novel region growing impulse noise estimator for color images is proposed. The aim of this estimator is to distinguish noisy pixels from uncorrupted pixels and subsequently measure the noise proportion efficiently. We use a region growing technique to segment the images into clusters of pixels and propose an adaptive decision scheme to measure the noise proportion. Performance analyses show the proposed scheme outperforms some of the state-of-theart techniques.
Citation:
Mieng Quoc Phu, Peter Eric Tischer, Hon Ren Wu, "Adaptive Region Growing Impulse Noise Estimator for Color Images," icpr, vol. 3, pp.786-789, 18th International Conference on Pattern Recognition (ICPR'06) Volume 3, 2006
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