Title
An Efficient Adaptive Fuzzy Switching Weighted Mean Filter for Salt-and-Pepper Noise Removal.
Abstract
An image degraded by noise is a common phenomenon. In this letter, we propose a novel adaptive fuzzy switching weighted mean filter to remove salt-and-pepper (SAP) noise. The process of denoising includes two stages: noise detection and noise elimination. In the first stage, pixels in a corrupted image are classified into two categories: original pixels and possible noise pixels. For the latter, w...
Year
DOI
Venue
2016
10.1109/LSP.2016.2607785
IEEE Signal Processing Letters
Keywords
Field
DocType
Switches,Noise reduction,Signal processing algorithms,PSNR,Manganese,Information filters
Noise reduction,Value noise,Computer vision,Pattern recognition,Non-local means,Salt-and-pepper noise,Dark-frame subtraction,Image noise,Artificial intelligence,Bilateral filter,Mathematics,Gradient noise
Journal
Volume
Issue
ISSN
23
11
1070-9908
Citations 
PageRank 
References 
12
0.62
12
Authors
4
Name
Order
Citations
PageRank
Yi Wang1122.31
Jiangyun Wang2120.62
Xiao Song3163.55
Liang Han4201.83