Noise adaptive soft-switching median filter

By How Lung Eng, Kai-Kuang Ma. IEEE Transactions on Image Processing, 2001

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An Efficient TVL1 Algorithm for Deblurring Multichannel Images Corrupted by Impulsive Noise (2009, background): “, the adaptive median filter [30], the multistate median filter [18], and the median filter based on homogeneity information [23, 41].”
A New Fast and Efficient Decision-Based Algorithm for Removal of High-Density Impulse Noises (2007, background): “[3], [6] have been proposed with this objective.”
Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization (2005, methodology): “Different remedies of the median filter have been proposed, e.g., the adaptive median filter [5], the multistate median filter [6], or the median filter based on homogeneity information [7], [8].”
A new impulse detector for switching median filters (2002, background): “A rank-ordered mean (ROM)-based and a soft-switching impulse detector were shown to work well under high noise corruption but at the cost of significantly increasing computational complexity [6], [7].”
A switching median filter with boundary discriminative noise detection for extremely corrupted images (2006, background): “1) Noise Model 1: Noise is modeled as salt-and-pepper impulse noise as practiced (e.g., in [9]).”