<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-27T21:07:56Z</responseDate><request verb="GetRecord" identifier="oai:riubu.ubu.es:10259/11232" metadataPrefix="dim">https://riubu.ubu.es/oai/request</request><GetRecord><record><header><identifier>oai:riubu.ubu.es:10259/11232</identifier><datestamp>2026-01-17T01:05:28Z</datestamp><setSpec>com_10259_5377</setSpec><setSpec>com_10259_5086</setSpec><setSpec>com_10259_2604</setSpec><setSpec>col_10259_5378</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
<dim:field mdschema="dc" element="contributor" qualifier="author" authority="a1248719-06e6-4ef1-a277-67738cbd4380" confidence="600" orcid_id="">Almutairi, Khleef</dim:field>
<dim:field mdschema="dc" element="contributor" qualifier="author" authority="b587276d-9c24-4354-9430-51bcc4faaa5e" confidence="600" orcid_id="">Morillas Gómez, Samuel</dim:field>
<dim:field mdschema="dc" element="contributor" qualifier="author" authority="815" confidence="600" orcid_id="0000-0001-6984-5173">Latorre Carmona, Pedro</dim:field>
<dim:field mdschema="dc" element="date" qualifier="accessioned">2026-01-16T12:19:28Z</dim:field>
<dim:field mdschema="dc" element="date" qualifier="available">2026-01-16T12:19:28Z</dim:field>
<dim:field mdschema="dc" element="date" qualifier="issued">2024-03</dim:field>
<dim:field mdschema="dc" element="identifier" qualifier="uri">https://hdl.handle.net/10259/11232</dim:field>
<dim:field mdschema="dc" element="identifier" qualifier="doi">10.3390/electronics13061150</dim:field>
<dim:field mdschema="dc" element="identifier" qualifier="essn">2079-9292</dim:field>
<dim:field mdschema="dc" element="description" qualifier="abstract" lang="en">Image denoising is a fundamental research topic in colour image processing, analysis, and transmission. Noise is an inevitable byproduct of image acquisition and transmission, and its nature is intimately linked to the underlying processes that produce it. Gaussian noise is a particularly prevalent type of noise that necessitates effective removal while ensuring the preservation of the original image’s quality. This paper presents a colour image denoising framework that integrates fuzzy inference systems (FISs) with eigenvector analysis. This framework employs eigenvector analysis to extract relevant information from local image neighbourhoods. This information is subsequently fed into the FIS system which dynamically adjusts the intensity of the denoising process based on local characteristics. This approach recognizes that homogeneous areas may require less aggressive smoothing than detailed image regions. Images are converted from the RGB domain to an eigenvector-based space for smoothing and then converted back to the RGB domain. The effectiveness of the proposed methods is established through the application of various image quality metrics and visual comparisons against established state-of-the-art techniques.</dim:field>
<dim:field mdschema="dc" element="description" qualifier="sponsorship" lang="en">This research was funded by Generalitat Valenciana under grant CIAICO/2022-051 IMaLeVICS and Spanish Ministry of Science under grant PID2022-140189OB-C21.</dim:field>
<dim:field mdschema="dc" element="format" qualifier="mimetype">application/pdf</dim:field>
<dim:field mdschema="dc" element="language" qualifier="iso" lang="es">eng</dim:field>
<dim:field mdschema="dc" element="publisher" lang="es">MDPI</dim:field>
<dim:field mdschema="dc" element="relation" qualifier="ispartof" lang="es">Electronics. 2024, V. 13, n. 6, p. 1150-1167</dim:field>
<dim:field mdschema="dc" element="relation" qualifier="publisherversion" lang="es">https://doi.org/10.3390/electronics13061150</dim:field>
<dim:field mdschema="dc" element="rights" lang="*">Atribución 4.0 Internacional</dim:field>
<dim:field mdschema="dc" element="rights" qualifier="uri" lang="*">http://creativecommons.org/licenses/by/4.0/</dim:field>
<dim:field mdschema="dc" element="rights" qualifier="accessRights" lang="es">info:eu-repo/semantics/openAccess</dim:field>
<dim:field mdschema="dc" element="subject" lang="en">Colour image processing</dim:field>
<dim:field mdschema="dc" element="subject" lang="en">Fuzzy inference system</dim:field>
<dim:field mdschema="dc" element="subject" lang="en">Eigenvector analysis</dim:field>
<dim:field mdschema="dc" element="subject" lang="en">Gaussian noise</dim:field>
<dim:field mdschema="dc" element="subject" qualifier="other" lang="es">Proceso de imágenes</dim:field>
<dim:field mdschema="dc" element="subject" qualifier="other" lang="es">Imágenes</dim:field>
<dim:field mdschema="dc" element="subject" qualifier="other" lang="es">Informática</dim:field>
<dim:field mdschema="dc" element="subject" qualifier="other" lang="en">Image processing</dim:field>
<dim:field mdschema="dc" element="subject" qualifier="other" lang="en">Pictures</dim:field>
<dim:field mdschema="dc" element="subject" qualifier="other" lang="en">Computer science</dim:field>
<dim:field mdschema="dc" element="title" lang="en">Fuzzy Inference Systems to Fine-Tune a Local Eigenvector Image Smoothing Method</dim:field>
<dim:field mdschema="dc" element="type" lang="es">info:eu-repo/semantics/article</dim:field>
<dim:field mdschema="dc" element="type" qualifier="hasVersion" lang="es">info:eu-repo/semantics/publishedVersion</dim:field>
<dim:field mdschema="dc" element="journal" qualifier="title" lang="es">Electronics</dim:field>
<dim:field mdschema="dc" element="volume" qualifier="number" lang="es">13</dim:field>
<dim:field mdschema="dc" element="issue" qualifier="number" lang="es">6</dim:field>
<dim:field mdschema="dc" element="page" qualifier="initial" lang="es">1150</dim:field>
<dim:field mdschema="dc" element="page" qualifier="final" lang="es">1167</dim:field>
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