Ghent University Academic Bibliography

Advanced

A fuzzy impulse noise detection and reduction method

Stefan Schulte, Mike Nachtegael, Valerie De Witte UGent, Dietrich Van der Weken UGent and Etienne Kerre UGent (2006) IEEE TRANSACTIONS ON IMAGE PROCESSING. 15(5). p.1153-1162
abstract
Removing or reducing impulse noise is a very active research area in image processing. In this paper we describe a new algorithm that is especially developed for reducing all kinds of impulse noise: fuzzy impulse noise detection and reduction method (FIDRM). It can also be applied to images having a mixture of impulse noise and other types of noise. The result is an image quasi without (or with very little) impulse noise so that other filters can be used afterwards. This nonlinear filtering technique contains two separated steps: an impulse noise detection step and a reduction step that preserves edge sharpness. Based on the concept of fuzzy gradient values, our detection method constructs a fuzzy set impulse noise. This fuzzy set is represented by a membership function that will be used by the filtering method, which is a fuzzy averaging of neighboring pixels. Experimental results show that FIDRM provides a significant improvement on other existing filters. FIDRM is not only very fast, but also very effective for reducing little as well as very high impulse noise.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
image processing, fuzzy filter, impulse noise, membership functions, noise reduction, MEDIAN FILTER, IMAGES
journal title
IEEE TRANSACTIONS ON IMAGE PROCESSING
IEEE Trans. Image Process.
volume
15
issue
5
pages
1153-1162 pages
Web of Science type
Article
Web of Science id
000236807100010
JCR category
ENGINEERING, ELECTRICAL & ELECTRONIC
JCR impact factor
2.715 (2006)
JCR rank
10/205 (2006)
JCR quartile
1 (2006)
ISSN
1057-7149
DOI
10.1109/TIP.2005.864179
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
335322
handle
http://hdl.handle.net/1854/LU-335322
date created
2006-05-19 10:15:00
date last changed
2016-12-19 15:41:59
@article{335322,
  abstract     = {Removing or reducing impulse noise is a very active research area in image processing. In this paper we describe a new algorithm that is especially developed for reducing all kinds of impulse noise: fuzzy impulse noise detection and reduction method (FIDRM). It can also be applied to images having a mixture of impulse noise and other types of noise. The result is an image quasi without (or with very little) impulse noise so that other filters can be used afterwards. This nonlinear filtering technique contains two separated steps: an impulse noise detection step and a reduction step that preserves edge sharpness. Based on the concept of fuzzy gradient values, our detection method constructs a fuzzy set impulse noise. This fuzzy set is represented by a membership function that will be used by the filtering method, which is a fuzzy averaging of neighboring pixels. Experimental results show that FIDRM provides a significant improvement on other existing filters. FIDRM is not only very fast, but also very effective for reducing little as well as very high impulse noise.},
  author       = {Schulte, Stefan and Nachtegael, Mike and De Witte, Valerie and Van der Weken, Dietrich and Kerre, Etienne},
  issn         = {1057-7149},
  journal      = {IEEE TRANSACTIONS ON IMAGE PROCESSING},
  keyword      = {image processing,fuzzy filter,impulse noise,membership functions,noise reduction,MEDIAN FILTER,IMAGES},
  language     = {eng},
  number       = {5},
  pages        = {1153--1162},
  title        = {A fuzzy impulse noise detection and reduction method},
  url          = {http://dx.doi.org/10.1109/TIP.2005.864179},
  volume       = {15},
  year         = {2006},
}

Chicago
Schulte, Stefan, Mike Nachtegael, Valerie De Witte, Dietrich Van der Weken, and Etienne Kerre. 2006. “A Fuzzy Impulse Noise Detection and Reduction Method.” Ieee Transactions on Image Processing 15 (5): 1153–1162.
APA
Schulte, Stefan, Nachtegael, M., De Witte, V., Van der Weken, D., & Kerre, E. (2006). A fuzzy impulse noise detection and reduction method. IEEE TRANSACTIONS ON IMAGE PROCESSING, 15(5), 1153–1162.
Vancouver
1.
Schulte S, Nachtegael M, De Witte V, Van der Weken D, Kerre E. A fuzzy impulse noise detection and reduction method. IEEE TRANSACTIONS ON IMAGE PROCESSING. 2006;15(5):1153–62.
MLA
Schulte, Stefan, Mike Nachtegael, Valerie De Witte, et al. “A Fuzzy Impulse Noise Detection and Reduction Method.” IEEE TRANSACTIONS ON IMAGE PROCESSING 15.5 (2006): 1153–1162. Print.