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Type: Artigo
Title: An adaptive image filter based on the fuzzy transform for impulse noise reduction
Author: Schuster, Tiago
Sussner, Peter
Abstract: Impulse noise, also known as impulsive noise, is one of the most common types of noise occurring in digital images. The median filter and morphological filters are often used to remove impulsive noise, but these filters do not preserve image details. In this paper, we first apply the median filter in order to reduce the amount of impulsive noise in a corrupted image. After an application of the direct fuzzy transform (FT) to the resulting image, we restored the pixel values corresponding to locations flagged by the fuzzy rule-based noise detector by means of the inverse fuzzy transform. Finally, we obtained the output of our proposed image filter by combining the restored pixels with the ones marked as noiseless by the aforementioned noise fuzzy detector. We compared the results of our approach that we called adaptive FT-based image filter (AFT-IF) with the ones obtained by a number of other image filters for impulsive noise reduction.
Subject: Filtros digitais (Matemática)
Ruido eletrônico
Processamento de imagens
Transformadas fuzzy
Digital filters (Mathematics)
Electronic noise
Image processing
Fuzzy transforms
Country: Alemanha
Editor: Springer
Rights: fechado
Identifier DOI: 10.1007/s00500-017-2669-5
Date Issue: 2017
Appears in Collections:IMECC - Artigos e Outros Documentos

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