Removal Of Random-Valued Impulse Noise using Adaptive Centre Weighted Median Filters And Detail Preservation Method
Shilpa Joshi, Ramesh K. Kulkarni, Jayashree Khanapuri · International Conference & Workshop on Emerging Trends in Technology · 2012
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. In the this paper these two phases are applied alternatively. Simulation