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.
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© 2005 Springer-Verlag Berlin Heidelberg
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Petrović, N., Crnojević, V. (2005). Impulse Noise Detection Based on Robust Statistics and Genetic Programming. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2005. Lecture Notes in Computer Science, vol 3708. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11558484_81
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DOI: https://doi.org/10.1007/11558484_81
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29032-2
Online ISBN: 978-3-540-32046-3
eBook Packages: Computer ScienceComputer Science (R0)