Ghent University Academic Bibliography

Advanced

A new fuzzy additive noise reduction method

Stefan Schulte, Valerie De Witte UGent, Mike Nachtegael UGent, Tom Mélange UGent and Etienne Kerre UGent (2007) LECTURE NOTES IN COMPUTER SCIENCE. 4633. p.12-23
abstract
In this paper we present a new alternative noise reduction method for color images that were corrupted with additive Gaussian noise. We illustrate that color images have to be processed in a different way than most of the state-of-the-art methods. The proposed method consists of two sub-filters. The main concern of the first subfilter is to distinguish between local variations due to noise and local variations due to image structures such as edges. This is realized by using the color component distances instead of component differences as done by most current filters. The second subfilter is used as a complementary filter which especially preserves differences between the color components. This is realized by calculating the local differences in the red, green and blue environment separately. These differences are then combined to calculate the local estimation of the central pixel. Experimental results show the feasibility of the proposed approach.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
keyword
IMAGE-RESTORATION, COLOR IMAGES, WAVELET-DOMAIN, FILTERS
in
LECTURE NOTES IN COMPUTER SCIENCE
LECT NOTES COMPUT SC
volume
4633
issue title
IMAGE ANALYSIS AND RECOGNITION, PROCEEDINGS
pages
12 pages
publisher
Springer
place of publication
Berlin
conference name
4th International Conference on Image Analysis and Recognition
conference location
Montreal, CANADA
conference start
2007-08-22
conference end
2007-08-24
Web of Science type
Proceedings Paper
Web of Science id
000251191500002
ISSN
0302-9743
ISBN
978-3-540-74258-6
DOI
10.1007/978-3-540-74260-9
language
English
UGent publication?
yes
classification
P1
id
750348
handle
http://hdl.handle.net/1854/LU-750348
date created
2009-09-18 13:12:21
date last changed
2010-01-18 10:20:17
@inproceedings{750348,
  abstract     = {In this paper we present a new alternative noise reduction method for color images that were corrupted with additive Gaussian noise. We illustrate that color images have to be processed in a different way than most of the state-of-the-art methods. The proposed method consists of two sub-filters. The main concern of the first subfilter is to distinguish between local variations due to noise and local variations due to image structures such as edges. This is realized by using the color component distances instead of component differences as done by most current filters. The second subfilter is used as a complementary filter which especially preserves differences between the color components. This is realized by calculating the local differences in the red, green and blue environment separately. These differences are then combined to calculate the local estimation of the central pixel. Experimental results show the feasibility of the proposed approach.},
  author       = {Schulte, Stefan and De Witte, Valerie and Nachtegael, Mike and M{\'e}lange, Tom and Kerre, Etienne},
  booktitle    = {LECTURE NOTES IN COMPUTER SCIENCE},
  isbn         = {978-3-540-74258-6},
  issn         = {0302-9743},
  keyword      = {IMAGE-RESTORATION,COLOR IMAGES,WAVELET-DOMAIN,FILTERS},
  language     = {eng},
  location     = {Montreal, CANADA},
  pages        = {12--23},
  publisher    = {Springer},
  title        = {A new fuzzy additive noise reduction method},
  url          = {http://dx.doi.org/10.1007/978-3-540-74260-9},
  volume       = {4633},
  year         = {2007},
}

Chicago
Schulte, Stefan, Valerie De Witte, Mike Nachtegael, Tom Mélange, and Etienne Kerre. 2007. “A New Fuzzy Additive Noise Reduction Method.” In Lecture Notes in Computer Science, 4633:12–23. Berlin: Springer.
APA
Schulte, S., De Witte, V., Nachtegael, M., Mélange, T., & Kerre, E. (2007). A new fuzzy additive noise reduction method. LECTURE NOTES IN COMPUTER SCIENCE (Vol. 4633, pp. 12–23). Presented at the 4th International Conference on Image Analysis and Recognition, Berlin: Springer.
Vancouver
1.
Schulte S, De Witte V, Nachtegael M, Mélange T, Kerre E. A new fuzzy additive noise reduction method. LECTURE NOTES IN COMPUTER SCIENCE. Berlin: Springer; 2007. p. 12–23.
MLA
Schulte, Stefan, Valerie De Witte, Mike Nachtegael, et al. “A New Fuzzy Additive Noise Reduction Method.” Lecture Notes in Computer Science. Vol. 4633. Berlin: Springer, 2007. 12–23. Print.