Impulse noise detection based on robust statistics and genetic programming

Authors:
Nemanja Petrović;Vladimir Crnojević
Affiliations:
Faculty of Engineering, Novi Sad, Serbia and Montenegro;Faculty of Engineering, Novi Sad, Serbia and Montenegro
Venue:
ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
Year:
2005

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Abstract

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.