Abstract—This letter presents a novel two-stage noise adaptive
fuzzy switching median (NAFSM) filter for salt-and-pepper noise
detection and removal. Initially, the detection stage will utilize
the histogram of the corrupted image to identify noise pixels.
These detected “noise pixels” will then be subjected to the second
stage of the filtering action, while “noise-free pixels” are retained
and left unprocessed. Then, the NAFSM filtering mechanism
employs fuzzy reasoning to handle uncertainty present in the
extracted local information as introduced by noise. Simulation
results indicate that the NAFSM is able to outperform some of the
salt-and-pepper noise filters existing in literature.
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