Fuzzy Inference System in a Local Eigenvector Based Color Image Smoothing Framework

Khleef Almutairi, Khleef Almutairi, Samuel Morillas, Pedro Latorre-Carmona

2023

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.

Paper Citation

in Harvard Style

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 - Volume 1: IMPROVE, ISBN 978-989-758-642-2, SciTePress, pages 142-149. DOI: 10.5220/0011966900003497

in Bibtex Style

@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 - Volume 1: IMPROVE,},
year={2023},
pages={142-149},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011966900003497},
isbn={978-989-758-642-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Image Processing and Vision Engineering - Volume 1: IMPROVE,
TI - Fuzzy Inference System in a Local Eigenvector Based Color Image Smoothing Framework
SN - 978-989-758-642-2
AU - Almutairi K.
AU - Morillas S.
AU - Latorre-Carmona P.
PY - 2023
SP - 142
EP - 149
DO - 10.5220/0011966900003497
PB - SciTePress