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Authors: Khleef Almutairi 1 ; 2 ; Samuel Morillas 1 and Pedro Latorre-Carmona 3

Affiliations: 1 Instituto Universitario de Matemática Pura y Aplicada, Universitat Politècnica de València, Camino de Vera s/n, Valencia, 46022, Spain ; 2 Mathematics Department, Faculty of Science, Albaha University, Suadi Arabia ; 3 Departmento de Ingeniería Informática, Universidad de Burgos, Avda. Cantabria s/n, Burgos, 09006, Spain

Keyword(s): Colour Image Smoothing, Fuzzy Inference System, Gaussian Noise, Noise Reduction, Eigenvector Analysis.

Abstract: Noise filtering in colour images is a complex task since it is essential to distinguish between structural and noise information in the image. It would therefore be important to simultaneously remove noise while keeping the original image details. This paper proposes a method based on a fuzzy inference system to eliminate noise and retrieve original image details. Images are transformed from an RGB space to an eigenvector based space and this transformation is fed to the fuzzy system. Results confirm the validity of the approach, its superior performance when compared to the eigenvector based framework it is based on, and its competitive behaviour when compared to other state-of-the-art methods.

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Paper citation in several formats:
Almutairi, K.; Morillas, S. and Latorre-Carmona, P. (2023). Fuzzy Inference System in a Local Eigenvector Based Color Image Smoothing Framework. In Proceedings of the 3rd International Conference on Image Processing and Vision Engineering - IMPROVE; ISBN 978-989-758-642-2; ISSN 2795-4943, SciTePress, pages 142-149. DOI: 10.5220/0011966900003497

@conference{improve23,
author={Khleef Almutairi. and Samuel Morillas. and Pedro Latorre{-}Carmona.},
title={Fuzzy Inference System in a Local Eigenvector Based Color Image Smoothing Framework},
booktitle={Proceedings of the 3rd International Conference on Image Processing and Vision Engineering - IMPROVE},
year={2023},
pages={142-149},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011966900003497},
isbn={978-989-758-642-2},
issn={2795-4943},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Image Processing and Vision Engineering - IMPROVE
TI - Fuzzy Inference System in a Local Eigenvector Based Color Image Smoothing Framework
SN - 978-989-758-642-2
IS - 2795-4943
AU - Almutairi, K.
AU - Morillas, S.
AU - Latorre-Carmona, P.
PY - 2023
SP - 142
EP - 149
DO - 10.5220/0011966900003497
PB - SciTePress

- Science and Technology Publications, Lda.
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