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A Fuzzy Weighted Mean Aggregation Algorithm for Color Image Impulse Noise Removal
Jyh-Yeong Chang, Hui Ping Liu
電控工程研究所
研究成果
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同行評審
5
引文 斯高帕斯(Scopus)
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Keyphrases
Color Image
100%
Aggregation Algorithm
100%
Fuzzy Weights
100%
Weighted Mean
100%
Impulse Noise Removal
100%
Mean Aggregation
100%
Learning Mechanisms
66%
Weight Parameter
66%
Detection Error
66%
Central pixel
66%
Pixel Detection
66%
Interval-valued Fuzzy Relations
66%
Noisy pixel
66%
Image Noise
33%
Neighboring pixels
33%
Noise Free
33%
Sliding Window
33%
Grayscale Image
33%
Training Stages
33%
Threshold Operation
33%
Besides to
33%
Noise Detection
33%
Best Parameters
33%
Noisy-OR
33%
Iterative Learning
33%
Weighted Mean Difference
33%
8 Neighborhood
33%
Engineering
Color Image
100%
Error Detection
100%
Learning Mechanism
100%
Impulse Noise
100%
Fuzzy Relation
100%
Image Noise
50%
Parameter Set
50%
Grayscale Image
50%
Computer Science
Error Detection
100%
Learning Mechanism
100%
Fuzzy Relation
100%
Image Noise
50%
Sliding Window
50%