<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1405-5546</journal-id>
<journal-title><![CDATA[Computación y Sistemas]]></journal-title>
<abbrev-journal-title><![CDATA[Comp. y Sist.]]></abbrev-journal-title>
<issn>1405-5546</issn>
<publisher>
<publisher-name><![CDATA[Instituto Politécnico Nacional, Centro de Investigación en Computación]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1405-55462025000100091</article-id>
<article-id pub-id-type="doi">10.13053/cys-29-1-5533</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Image Contrast Enhancement: The Synergistic Power of a Dual-Gamma Correction Function and Evolutionary Algorithms]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pérez-Enriquez]]></surname>
<given-names><![CDATA[Laritza]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Jiménez-Domínguez]]></surname>
<given-names><![CDATA[Miguel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[García-Rojas]]></surname>
<given-names><![CDATA[Néstor]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Zapotecas-Martínez]]></surname>
<given-names><![CDATA[Saúl]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Altamirano-Robles]]></surname>
<given-names><![CDATA[Leopoldo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Instituto Nacional de Astrofísica, Óptica y Electrónica  ]]></institution>
<addr-line><![CDATA[Puebla ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>03</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>03</month>
<year>2025</year>
</pub-date>
<volume>29</volume>
<numero>1</numero>
<fpage>91</fpage>
<lpage>101</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-55462025000100091&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-55462025000100091&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-55462025000100091&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: Image processing techniques frequently employ contrast enhancement to emphasize lighting, brightness, and finer details, facilitating better visualization and rendering of images suitable for various applications and research endeavors. The effectiveness of these techniques significantly influences task performance in fields reliant on image analysis, with disciplines like computer vision particularly reliant on precise feature detection. This paper introduces an innovative approach to contrast enhancement using a dual-gamma correction function, their parameters optimized through metaheuristics. By examining the interplay between the dual-gamma correction function and prominent metaheuristic algorithms such as a Genetic Algorithm (GA), a Differential Evolution (DE) algorithm, and a Particle Swarm Optimization (PSO) algorithm, the goal is to refine pixel values and accentuate features in low-contrast images. The method is subjected to a comprehensive evaluation using a publicly available dataset and established performance metrics, ensuring the reliability and validity of the results. The results of this study are promising and have significant practical implications. The dual-gamma correction function enhances image contrast and adapts swiftly to various metaheuristics. This research is a crucial step towards advancing contrast enhancement methodologies, offering a practical and effective solution for improving image quality across multiple applications.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Image contrast enhancement]]></kwd>
<kwd lng="en"><![CDATA[gamma correction function]]></kwd>
<kwd lng="en"><![CDATA[metaheuristics]]></kwd>
</kwd-group>
</article-meta>
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