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Fuzzy two-step filter for impulse noise reduction from color images

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Abstract
A new framework for reducing impulse noise from digital color images is presented, in which a fuzzy detection phase is followed by an iterative fuzzy filtering technique. We call this filter the fuzzy two-step color filter. The fuzzy detection method is mainly based on the calculation of fuzzy gradient values and on fuzzy reasoning. This phase determines three separate membership functions that are passed to the filtering step. These membership functions will be used as a representation of the fuzzy set impulse noise (one function for each color component). Our proposed new fuzzy method is especially developed for reducing impulse noise from color images while preserving details and texture. Experiments show that the proposed filter can be used for efficient removal of impulse noise from color images without distorting the useful information in the image.
Keywords
fuzzy filter, color, image processing, impulse noise, membership functions, noise reduction, MEDIAN FILTER

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Chicago
Schulte, Stefan, Valerie De Witte, Mike Nachtegael, Dietrich Van der Weken, and Etienne Kerre. 2006. “Fuzzy Two-step Filter for Impulse Noise Reduction from Color Images.” Ieee Transactions on Image Processing 15 (11): 3567–3578.
APA
Schulte, Stefan, De Witte, V., Nachtegael, M., Van der Weken, D., & Kerre, E. (2006). Fuzzy two-step filter for impulse noise reduction from color images. IEEE TRANSACTIONS ON IMAGE PROCESSING, 15(11), 3567–3578.
Vancouver
1.
Schulte S, De Witte V, Nachtegael M, Van der Weken D, Kerre E. Fuzzy two-step filter for impulse noise reduction from color images. IEEE TRANSACTIONS ON IMAGE PROCESSING. 2006;15(11):3567–78.
MLA
Schulte, Stefan, Valerie De Witte, Mike Nachtegael, et al. “Fuzzy Two-step Filter for Impulse Noise Reduction from Color Images.” IEEE TRANSACTIONS ON IMAGE PROCESSING 15.11 (2006): 3567–3578. Print.
@article{351938,
  abstract     = {A new framework for reducing impulse noise from digital color images is presented, in which a fuzzy detection phase is followed by an iterative fuzzy filtering technique. We call this filter the fuzzy two-step color filter. The fuzzy detection method is mainly based on the calculation of fuzzy gradient values and on fuzzy reasoning. This phase determines three separate membership functions that are passed to the filtering step. These membership functions will be used as a representation of the fuzzy set impulse noise (one function for each color component). Our proposed new fuzzy method is especially developed for reducing impulse noise from color images while preserving details and texture. Experiments show that the proposed filter can be used for efficient removal of impulse noise from color images without distorting the useful information in the image.},
  author       = {Schulte, Stefan and De Witte, Valerie and Nachtegael, Mike and Van der Weken, Dietrich and Kerre, Etienne},
  issn         = {1057-7149},
  journal      = {IEEE TRANSACTIONS ON IMAGE PROCESSING},
  keyword      = {fuzzy filter,color,image processing,impulse noise,membership functions,noise reduction,MEDIAN FILTER},
  language     = {eng},
  number       = {11},
  pages        = {3567--3578},
  title        = {Fuzzy two-step filter for impulse noise reduction from color images},
  url          = {http://dx.doi.org/10.1109/TIP.2006.877494},
  volume       = {15},
  year         = {2006},
}

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