Abstract
This paper proposes an efficient noise reduction method for image restoration. A novel pixel classification method by using fuzzy logic and local gradients is first introduced to discriminate noise and noise-free pixels from corrupted images. Then, a switching filtering scheme is employed to noisy images. The noise pixels will be filtered by a weighted median filter with adaptive weights when the noise-free pixels are preserved in the filtered images. Both numerical comparisons and perceptual observations are demonstrated in the experimental simulations. It is found that the proposed method achieves a fairly better performance than a number of other existing methods in noise reduction and image restoration.
Original language | English |
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Pages (from-to) | 1841-1857 |
Number of pages | 17 |
Journal | Fuzzy Sets and Systems |
Volume | 160 |
Issue number | 13 |
DOIs | |
State | Published - 1 Jul 2009 |
Keywords
- Fuzzy logic
- Fuzzy systems
- Image restoration
- Noise detection
- Noise reduction