Impulse Noise Detection Based on Robust Statistics and Genetic Programming

Impulse Noise Detection Based on Robust Statistics and Genetic Programming

A new impulse detector design method for image impulse noise is presented. Robust statistics of local pixel neighborhood present features in a binary classification scheme. Classifier is developed through the evolutionary process realized by genetic programming. The proposed filter shows very good r...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: PETROVIC, Nemanja, CRNOJEVIC, Vladimir
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Applied sciences
Artificial intelligence
Computer science
control theory
systems
Exact sciences and technology
Genetic Program
Impulse Noise
Median Filter
Pattern recognition. Digital image processing. Computational geometry
Robust Estimator
Robust Statistics
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Beschreibung
Zusammenfassung:A new impulse detector design method for image impulse noise is presented. Robust statistics of local pixel neighborhood present features in a binary classification scheme. Classifier is developed through the evolutionary process realized by genetic programming. The proposed filter shows very good results in suppressing both fixed-valued and random-valued impulse noise, for any noise probability, and on all test images.
ISSN:0302-9743
1611-3349
DOI:10.1007/11558484_81