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Technical Program
Paper Detail
| Paper: | TP-L6.7 |
| Session: | Soft Computing in Image Processing: Recent Advances |
| Time: | Tuesday, October 10, 16:40 - 17:00 |
| Presentation: |
Special Session Lecture
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| Title: |
A NEW FUZZY FILTER FOR THE REDUCTION OF RANDOMLY VALUED IMPULSE NOISE |
| Authors: |
Stefan Schulte; Ghent University | | | | | Valèrie De Witte; Ghent University | | | | | Mike Nachtegael; Ghent University | | | | | Dietrich Van der Weken; Ghent University | | | | | Etienne Kerre; Ghent University | | |
| Abstract: |
In many current impulse noise models for images, corrupted pixels are replaced with values equal or near the maximum or minimum intensity values of the allowable dynamic range. In this paper, we present a new fuzzy filter for a more general noise model in which a noisy pixel has an arbitrary value in the dynamic range according to some underlying probability distribution. This filter consists of (1) a fuzzy detection method, where we investigate if a certain pixel position can be seen as noisy or not and (2) a fuzzy reduction method that reduces the noise while preserving the fine details (like edges and textures) of the image. Experimental results have shown that the proposed filter may be used for efficient removal of randomly valued impulse noise without distorting the useful information in the image. |
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