Abstract
In this paper, a novel filter for high-density salt and pepper noise removal based on the fuzzy mathematical morphology using t-norms is proposed. This filter involves two phases, namely, a detection step of the corrupted pixels and the restoration of the image using a specialized regularization method using fuzzy open-close and close-open sequences. The experimental results show that the proposed algorithm outperforms other nonlinear filtering methods both from the visual point of view and the values of some objective performance measures for images corrupted up to 90% of noise.
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González-Hidalgo, M., Massanet, S., Mir, A., Ruiz-Aguilera, D. (2013). A Fuzzy Filter for High-Density Salt and Pepper Noise Removal. In: Bielza, C., et al. Advances in Artificial Intelligence. CAEPIA 2013. Lecture Notes in Computer Science(), vol 8109. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40643-0_8
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DOI: https://doi.org/10.1007/978-3-642-40643-0_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40642-3
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