Two-step fuzzy logic-based method for impulse noise detection in colour images

Authors:
Joan-Gerard Camarena;Valentín Gregori;Samuel Morillas;Almanzor Sapena
Affiliations:
Instituto Universitario de Matemática Pura y Aplicada, Universidad Politécnica de Valencia, Camino de Vera s/n 46022 Valencia, Spain;Instituto Universitario de Matemática Pura y Aplicada, Universidad Politécnica de Valencia, Camino de Vera s/n 46022 Valencia, Spain;Instituto Universitario de Matemática Pura y Aplicada, Universidad Politécnica de Valencia, Camino de Vera s/n 46022 Valencia, Spain;Instituto Universitario de Matemática Pura y Aplicada, Universidad Politécnica de Valencia, Camino de Vera s/n 46022 Valencia, Spain
Venue:
Pattern Recognition Letters
Year:
2010

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Abstract

We present a novel fuzzy noise detector based on a fuzzy metric specifically designed to detect impulses. The fuzzy detector is inspired on the recent rank-ordered differences (ROD) statistic. We propose a noise detection process performed in two steps followed by noise filtering using the vector median filter. Experimental results show that the method is among the best-performing methods for impulse noise reduction and computational analysis indicates that the method is pretty efficient.