Digital Image Processing
A Variational Approach to Remove Outliers and Impulse Noise
Journal of Mathematical Imaging and Vision
Tri-state median filter for image denoising
IEEE Transactions on Image Processing
Noise adaptive soft-switching median filter
IEEE Transactions on Image Processing
Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization
IEEE Transactions on Image Processing
A Detection Statistic for Random-Valued Impulse Noise
IEEE Transactions on Image Processing
Adaptive median filters: new algorithms and results
IEEE Transactions on Image Processing
Modified switching median filter for impulse noise removal
Signal Processing
Restoration of embedded image from corrupted stego image
Signal Processing
Color recovery of black-and-white halftoned images via categorized color-embedding look-up tables
Digital Signal Processing
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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.