Using uncorrupted neighborhoods of the pixels for impulsive noise suppression with ANFIS

IEEE Transactions on Image Processing

Volumn 16, Issue 3, 2007, Pages 759-773

  Civicioglu, Pinar ^a  

^a ERCIYES UNIVERSITY   (Turkey)

Author keywords

Adaptive network based fuzzy inference system (ANFIS); Extreme value distribution (EVD); Impulsive noise (IN); k nearest pixels; Statistical noise detection

Indexed keywords

COMPUTER SIMULATION; FUZZY INFERENCE; FUZZY SYSTEMS; IMPULSE NOISE; NONLINEAR FILTERING; STATISTICAL METHODS;

ADAPTIVE NETWORK-BASED FUZZY INFERENCE SYSTEM (ANFIS); EXTREME VALUE DISTRIBUTION (EVD); STATISTICAL NOISE DETECTION;

IMAGE RECONSTRUCTION;

ALGORITHM; ARTICLE; ARTIFACT; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; FUZZY LOGIC; IMAGE ENHANCEMENT; MATHEMATICAL COMPUTING; METHODOLOGY; SIGNAL PROCESSING; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFACTS; ARTIFICIAL INTELLIGENCE; FUZZY LOGIC; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; NEURAL NETWORKS (COMPUTER); NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 33947227318     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2007.891067     Document Type: Article

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