An efficient median filter based method for removing random-valued impulse noise ?
In this paper, we propose a two-phase median filter based 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 median filter based iterative method which allows edges and noise-free pixels to be preserved. These two phases are applied alternatively. Simulation results indicate that the proposed method performs better than many well-known methods while preserving its simplicity.
impulse noise adaptive center-weighted median filter edge-preserving regularization noise detection