An iterative procedure for removing random-valued impulse noise

• Published in: IEEE signal processing letters Vol. 11; no. 12; pp. 921 - 924
• Main Authors: Chan, R.H., Chen Hu, Nikolova, M.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01-12-2004; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptive center-weighted median filter; Adaptive filters; Cleaning; Digital filters; Image restoration; impulse noise; Impulses; Information filtering; Information filters; Iterative methods; Noise; Noise level; Nonlinear filters; Phase noise; Pixel; Pixels; Regularization; regularization methods; Signal processing; Signal to noise ratio; Simulation
• ISSN: 1070-9908; 1558-2361
• DOI: 10.1109/LSP.2004.838190

This work 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.