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A fuzzy filter for the removal of random impulse noise in colour video

Tom Mélange UGent, Mike Nachtegael UGent and Etienne Kerre UGent (2010) IEEE International Conference on Fuzzy Systems. In IEEE International Conference on Fuzzy Systems
abstract
In this paper a new filtering framework for colour image sequences corrupted by random impulse noise is introduced. The proposed method consists of three successive filtering steps in order to find a good trade-off between detail preservation and noise removal. One hard filtering step, that should remove all the noise at once, would namely also remove a considerable amount of details. In the different noise detection steps, we make use of human knowledge represented in the form of fuzzy if-then rules. The detection of noisy pixel components is based on spatial and temporal information as well as on information from the other colour bands. Additionally, only detected pixel components are filtered by blockmatching based on an adaptation of the mean absolute difference (MAD) to noise. The other components remain unchanged. From the experimental results, it can be concluded that the proposed filter outperforms other state-of-the-art impulse noise filters.
Please use this url to cite or link to this publication:
author
organization
year
type
conference (proceedingsPaper)
publication status
published
subject
keyword
SEARCH ALGORITHM, IMAGE-RESTORATION, MEDIAN FILTERS, ENHANCEMENT, BLOCK MOTION ESTIMATION, REDUCTION METHOD
in
IEEE International Conference on Fuzzy Systems
series title
IEEE International Conference on Fuzzy Systems
issue title
2010 IEEE International conference on fuzzy systems (FUZZ-IEEE 2010)
pages
8 pages
publisher
IEEE
place of publication
New York, NY, USA
conference name
2010 IEEE World congress on Computational Intelligence
conference location
Barcelona, Spain
conference start
2010-07-18
conference end
2010-07-23
Web of Science type
Proceedings Paper
Web of Science id
000287453601065
ISSN
1098-7584
ISBN
9781424469208
DOI
10.1109/FUZZY.2010.5583983
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
2132619
handle
http://hdl.handle.net/1854/LU-2132619
date created
2012-06-05 11:44:04
date last changed
2018-05-17 14:36:52
@inproceedings{2132619,
  abstract     = {In this paper a new filtering framework for colour image sequences corrupted by random impulse noise is introduced. The proposed method consists of three successive filtering steps in order to find a good trade-off between detail preservation and noise removal. One hard filtering step, that should remove all the noise at once, would namely also remove a considerable amount of details. In the different noise detection steps, we make use of human knowledge represented in the form of fuzzy if-then rules. The detection of noisy pixel components is based on spatial and temporal information as well as on information from the other colour bands. Additionally, only detected pixel components are filtered by blockmatching based on an adaptation of the mean absolute difference (MAD) to noise. The other components remain unchanged. From the experimental results, it can be concluded that the proposed filter outperforms other state-of-the-art impulse noise filters.},
  author       = {M{\'e}lange, Tom and Nachtegael, Mike and Kerre, Etienne},
  booktitle    = {IEEE International Conference on Fuzzy Systems},
  isbn         = {9781424469208},
  issn         = {1098-7584},
  keyword      = {SEARCH ALGORITHM,IMAGE-RESTORATION,MEDIAN FILTERS,ENHANCEMENT,BLOCK MOTION ESTIMATION,REDUCTION METHOD},
  language     = {eng},
  location     = {Barcelona, Spain},
  pages        = {8},
  publisher    = {IEEE},
  title        = {A fuzzy filter for the removal of random impulse noise in colour video},
  url          = {http://dx.doi.org/10.1109/FUZZY.2010.5583983},
  year         = {2010},
}

Chicago
Mélange, Tom, Mike Nachtegael, and Etienne Kerre. 2010. “A Fuzzy Filter for the Removal of Random Impulse Noise in Colour Video.” In IEEE International Conference on Fuzzy Systems. New York, NY, USA: IEEE.
APA
Mélange, T., Nachtegael, M., & Kerre, E. (2010). A fuzzy filter for the removal of random impulse noise in colour video. IEEE International Conference on Fuzzy Systems. Presented at the 2010 IEEE World congress on Computational Intelligence, New York, NY, USA: IEEE.
Vancouver
1.
Mélange T, Nachtegael M, Kerre E. A fuzzy filter for the removal of random impulse noise in colour video. IEEE International Conference on Fuzzy Systems. New York, NY, USA: IEEE; 2010.
MLA
Mélange, Tom, Mike Nachtegael, and Etienne Kerre. “A Fuzzy Filter for the Removal of Random Impulse Noise in Colour Video.” IEEE International Conference on Fuzzy Systems. New York, NY, USA: IEEE, 2010. Print.