An Iterative Procedure for Removing Random-Valued Impulse Noise
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 921-924 |
| Journal / Publication | IEEE Signal Processing Letters |
| Volume | 11 |
| Issue number | 12 |
| Online published | 22 Nov 2004 |
| Publication status | Published - Dec 2004 |
| Externally published | Yes |
Link(s)
Abstract
This paper proposes a two-stage iterative method for removing random-valued impulse noise. In the first phase, we use the adaptive center-weighted median filter to identify pixels which are likely to be corrupted by noise (noise candidates). In the second phase, these noise candidates are restored using a detail-preserving regularization method which allows edges and noise-free pixels to be preserved. These two phases are applied alternatively. Simulation results indicate that the proposed method is significantly better than those using just nonlinear filters or regularization only.
Research Area(s)
- Adaptive center-weighted median filter, Impulse noise, Regularization methods
Citation Format(s)
An Iterative Procedure for Removing Random-Valued Impulse Noise. / Chan, Raymond H.; Hu, Chen; Nikolova, Mila.
In: IEEE Signal Processing Letters, Vol. 11, No. 12, 12.2004, p. 921-924.
In: IEEE Signal Processing Letters, Vol. 11, No. 12, 12.2004, p. 921-924.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
