Paper Info
Title
An Adaptive C-Average Fuzzy Control Filter for Image Enhancement
Abstract
In this paper a new fuzzy control based filter called by Adaptive Caverage Fuzzy Control Filter 'ACFCF' is introduced. The aim of this filter is removing impulsive noise, smoothing Gaussian noise out while at the same time preserving edges and image details efficiently. To increase the run-time speed, the floating point operations are avoided. This filter employs the idea that each pixel is not fired uniformly by each of the fuzzy rules which are adaptively tuned. To show how efficient our filtering approach is, we perform several different test cases on image enhancement problem. From these results we may list the concluding remarks of the proposed filtering as: i) no need of floating point calculations, ii) very fast performance of the filter in compared with those of the other recently proposed filters, iii) high quality of filtering, iv) high edge preserving ability.
Year
DOI
Venue
1999
10.1007/3-540-48774-3_20
Fuzzy Days
Keywords
Field
DocType
image detail,new fuzzy control,image enhancement problem,high edge,floating point operation,impulsive noise,image enhancement,smoothing gaussian noise,high quality,adaptive c-average fuzzy control,fuzzy rule,floating point calculation,gaussian noise,fuzzy control,impulse noise,floating point
Median filter,Root-raised-cosine filter,Computer science,Filter (signal processing),Algorithm,Composite image filter,Adaptive filter,Kernel adaptive filter,m-derived filter,Filter design
Conference
Volume
ISSN
ISBN
1625
0302-9743
3-540-66050-X
Citations 
PageRank 
References 
0
0.34
11
Authors
3
Name
Order
Citations
PageRank
Farzam Farbiz147552.46
Mohammad Bagher Menhaj221439.24
Seyed Ahmad Motamedi35910.45