DocumentCode :
789415
Title :
Fuzzy Two-Step Filter for Impulse Noise Reduction From Color Images
Author :
Schulte, Stefan ; De Witte, Valérie ; Nachtegael, Mike ; Van der Weken, Dietrich ; Kerre, Etienne E.
Author_Institution :
Dept. of Appl. Math. & Comput. Sci., Ghent Univ.
Volume :
15
Issue :
11
fYear :
2006
Firstpage :
3567
Lastpage :
3578
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 :
filtering theory; fuzzy set theory; gradient methods; image colour analysis; image denoising; color images; fuzzy detection phase; fuzzy gradient values; fuzzy reasoning; fuzzy set impulse noise; fuzzy two-step filter; impulse noise reduction; iterative fuzzy filtering technique; Color; Colored noise; Digital filters; Fuzzy reasoning; Fuzzy sets; Information filtering; Information filters; Noise reduction; Phase detection; Phase noise; Color; fuzzy filter; image processing; impulse noise; membership functions; noise reduction;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/TIP.2006.877494
Filename :
1709999
Link To Document :
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