Title
Noise Adaptive Fuzzy Switching Median Filter for Salt-and-Pepper Noise Reduction
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 unproc...
Year
DOI
Venue
2010
10.1109/LSP.2009.2038769
IEEE Signal Processing Letters
Keywords
Field
DocType
Noise reduction,Adaptive filters,Pixel,Filtering,Fuzzy reasoning,Digital images,Histograms,Uncertainty,Image edge detection,Image restoration
Noise reduction,Computer vision,Value noise,Median filter,Pattern recognition,Noise measurement,Salt-and-pepper noise,Image noise,Artificial intelligence,Gaussian noise,Mathematics,Gradient noise
Journal
Volume
Issue
ISSN
17
3
1070-9908
Citations 
PageRank 
References 
73
2.56
9
Authors
2
Name
Order
Citations
PageRank
Kenny Kal Vin Toh11054.57
Nor Ashidi Mat Isa276345.79