Abstract
A novel approach to impulsive noise detection in color images is introduced. The neighborhood of a central pixel using a fuzzy metric is considered for the fast detection of noisy pixels using a peer group concept. Then, a filter based on a switching scheme between the Arithmetic Mean Filter (AMF) and the identity operation is proposed. The proposed filter reaches a very good balance between noise suppression and detail-preserving outperforming significantly the classical vector filters. The presented approach is faster than recently introduced switching filters based on similar concepts showing a competitive performance.
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Camarena, JG., Gregori, V., Morillas, S., Peris-Fajarnés, G. (2006). New Method for Fast Detection and Removal of Impulsive Noise Using Fuzzy Metrics. In: Campilho, A., Kamel, M.S. (eds) Image Analysis and Recognition. ICIAR 2006. Lecture Notes in Computer Science, vol 4141. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11867586_34
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DOI: https://doi.org/10.1007/11867586_34
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