<?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>0120-6230</journal-id>
<journal-title><![CDATA[Revista Facultad de Ingeniería Universidad de Antioquia]]></journal-title>
<abbrev-journal-title><![CDATA[Rev.fac.ing.univ. Antioquia]]></abbrev-journal-title>
<issn>0120-6230</issn>
<publisher>
<publisher-name><![CDATA[Facultad de Ingeniería, Universidad de Antioquia]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0120-62302024000300098</article-id>
<article-id pub-id-type="doi">10.17533/udea.redin.20240203</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Enhancing facial recognition in surveillance systems through embedded super-resolution]]></article-title>
<article-title xml:lang="es"><![CDATA[Mejorando el reconocimiento facial en sistemas de vigilancia mediante super-resolución embebida]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Gómez-Bautista]]></surname>
<given-names><![CDATA[Andrés David]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Calderón-Bocanegra]]></surname>
<given-names><![CDATA[Francisco Carlos]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Pontificia Universidad Javeriana Departamento de Electrónica ]]></institution>
<addr-line><![CDATA[Bogotá ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>09</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>09</month>
<year>2024</year>
</pub-date>
<numero>112</numero>
<fpage>98</fpage>
<lpage>110</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0120-62302024000300098&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0120-62302024000300098&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0120-62302024000300098&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT This document details the implementation of a sub-pixel convolutional neural network designed to enhance the resolution of face images. The model uses a series of filters to progressively increase the number of pixels, estimating the necessary information for new pixels from the original image and training derived from 22000 synthetic images produced by adversarial neural networks. Within the context of surveillance and related applications, the trained convolutional network exhibits beneficial characteristics. For instance, it can be deployed within a device to achieve higher-resolution images than those the physical camera can produce. This research underscores the feasibility of such a device through the implementation and evaluation of the network on the NVIDIA Jetson TX2 embedded system. The findings demonstrate the model's practicality for real-time surveillance applications and its ability to produce superior-quality images compared to several interpolation methods, as determined by an exhaustive testing process measuring various attributes of the generated images.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN Este documento detalla la implementación de una red neuronal convolucional de aplicación a nivel sub-pixel diseñada para mejorar la resolución de imágenes faciales. El modelo utiliza una serie de filtros para aumentar progresivamente el número de píxeles, estimando la información necesaria para los nuevos píxeles tanto de la imagen original como del entrenamiento derivado de 22000 imágenes sintéticas producidas por redes neuronales adversarias. Dentro del contexto de la vigilancia y aplicaciones relacionadas, la red neuronal convolucional entrenada muestra características beneficiosas. Por ejemplo, se puede implementar dentro de un dispositivo para lograr imágenes de mayor resolución de las que la cámara física puede producir. Esta investigación subraya la viabilidad de dicho dispositivo a través de la implementación y evaluación de la red en el sistema embebido NVIDIA Jetson TX2. Los hallazgos demuestran la practicidad del modelo para aplicaciones de vigilancia en tiempo real y su capacidad para producir imágenes de calidad superior en comparación con varios métodos de interpolación, según lo determinado por un proceso de prueba exhaustivo que mide varios atributos de las imágenes generadas.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Super-resolution]]></kwd>
<kwd lng="en"><![CDATA[face enhancement]]></kwd>
<kwd lng="en"><![CDATA[computer vision]]></kwd>
<kwd lng="en"><![CDATA[surveillance]]></kwd>
<kwd lng="en"><![CDATA[machine learning]]></kwd>
<kwd lng="es"><![CDATA[Súper resolución]]></kwd>
<kwd lng="es"><![CDATA[mejora de rostros]]></kwd>
<kwd lng="es"><![CDATA[visión por computador]]></kwd>
<kwd lng="es"><![CDATA[video vigilancia]]></kwd>
<kwd lng="es"><![CDATA[aprendizaje supervisado]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<label>1</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bojkovic]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Samcovic]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<source><![CDATA[&#8220;Face detection approach in neural network based method for video surveillance,&#8221;]]></source>
<year>2006</year>
<conf-name><![CDATA[ 2006 8th Seminar on Neural Network Applications in Electrical Engineering]]></conf-name>
<conf-loc>Belgrade, Serbia </conf-loc>
</nlm-citation>
</ref>
<ref id="B2">
<label>2</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Qezavati]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Majidi]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Manzuri]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<source><![CDATA[&#8220;Partially covered face detection in presence of headscarf for surveillance applications,&#8221;]]></source>
<year>2019</year>
<conf-name><![CDATA[ 4th International Conference on Pattern Recognition and Image Analysis (IPRIA)]]></conf-name>
<conf-loc>Tehran, Iran </conf-loc>
</nlm-citation>
</ref>
<ref id="B3">
<label>3</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Harikrishnan]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Sudarsan]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Sadashiv]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Ajai]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<source><![CDATA[&#8220;Vision-face recognition attendance monitoring system for surveillance using deep learning technology and computer vision,&#8221;]]></source>
<year>2019</year>
<conf-name><![CDATA[ International Conference on Vision Towards Emerging Trends in Communication and Networking (ViTECoN)]]></conf-name>
<conf-loc>Vellore, India </conf-loc>
</nlm-citation>
</ref>
<ref id="B4">
<label>4</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Bao]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Ding]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhu]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<source><![CDATA[&#8220;Face recognition in real-world surveillance videos with deep learning method,&#8221;]]></source>
<year>2017</year>
<conf-name><![CDATA[ 2nd International Conference on Image, Vision and Computing (ICIVC),]]></conf-name>
<conf-loc>Chengdú, China </conf-loc>
</nlm-citation>
</ref>
<ref id="B5">
<label>5</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zhao]]></surname>
<given-names><![CDATA[Q.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<source><![CDATA[&#8220;Real-time face tracking in surveillance videos on chips for valuable face capturing,&#8221;]]></source>
<year>2020</year>
<conf-name><![CDATA[ International Conference on Artificial Intelligence and Computer Engineering (ICAICE)]]></conf-name>
<conf-loc>Beijing, China </conf-loc>
</nlm-citation>
</ref>
<ref id="B6">
<label>6</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Makhfoudi]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Almaadeed]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Bouridane]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Sexton]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Jiang]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<source><![CDATA[&#8220;Visualization of faces from surveillance videos via face hallucination,&#8221;]]></source>
<year>2014</year>
<conf-name><![CDATA[ International Conference on Control, Decision and Information Technologies (CoDIT),]]></conf-name>
<conf-loc>Metz, France </conf-loc>
</nlm-citation>
</ref>
<ref id="B7">
<label>7</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[He]]></surname>
<given-names><![CDATA[Q.]]></given-names>
</name>
<name>
<surname><![CDATA[Pang]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
</person-group>
<source><![CDATA[&#8220;Frontal face generation from multiple pose-variant faces with cgan in real-world surveillance scene,&#8221;]]></source>
<year>2018</year>
<conf-name><![CDATA[ IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)]]></conf-name>
<conf-loc>Calgary, AB, Canada </conf-loc>
</nlm-citation>
</ref>
<ref id="B8">
<label>8</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Khan]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Khan]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Obaid]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Jadoon]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Khan]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Sikandar]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<source><![CDATA[&#8220;A novel multi-frame super resolution algorithm for surveillance camera image reconstruction,&#8221;]]></source>
<year>2015</year>
<conf-name><![CDATA[ First International Conference on Anti-Cybercrime (ICACC),]]></conf-name>
<conf-loc>Riyadh, Saudi Arabia </conf-loc>
</nlm-citation>
</ref>
<ref id="B9">
<label>9</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mokhayeri]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Granger]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Bilodeau]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
</person-group>
<source><![CDATA[&#8220;Synthetic face generation under various operational conditions in video surveillance,&#8221;]]></source>
<year>2015</year>
<conf-name><![CDATA[ IEEE International Conference on Image Processing (ICIP)]]></conf-name>
<conf-loc>Quebec City, Canada </conf-loc>
</nlm-citation>
</ref>
<ref id="B10">
<label>10</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Park]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Park]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Kang]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<source><![CDATA[&#8220;Super-resolution image reconstruction: a technical overview,&#8221;]]></source>
<year>2003</year>
<conf-name><![CDATA[ presented at IEEE Aerospace Conference]]></conf-name>
<conf-loc> </conf-loc>
</nlm-citation>
</ref>
<ref id="B11">
<label>11</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ziwei]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Chengdong]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Dongyue]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Yuanchen]]></surname>
<given-names><![CDATA[Q.]]></given-names>
</name>
<name>
<surname><![CDATA[Chunping]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
</person-group>
<source><![CDATA[&#8220;Overview on image super resolution reconstruction,&#8221;]]></source>
<year>2014</year>
<conf-name><![CDATA[ 26thChinese Control and Decision Conference (2014 CCDC),]]></conf-name>
<conf-loc>Changsha, China </conf-loc>
</nlm-citation>
</ref>
<ref id="B12">
<label>12</label><nlm-citation citation-type="confpro">
<collab>IEEE</collab>
<source><![CDATA[&#8220;Ieee standard computer dictionary: A compilation of ieee standard computer glossaries,&#8221;]]></source>
<year>1991</year>
<conf-name><![CDATA[ presented at IEEE Std 610]]></conf-name>
<conf-loc> </conf-loc>
</nlm-citation>
</ref>
<ref id="B13">
<label>13</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Shamsolmoali]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Celebi]]></surname>
<given-names><![CDATA[M. E.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[&#8220;Deep learning approaches for real-time image super-resolution,&#8221;]]></article-title>
<source><![CDATA[Neural Computing and Applications]]></source>
<year>2020</year>
<volume>32</volume>
</nlm-citation>
</ref>
<ref id="B14">
<label>14</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Niu]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
</person-group>
<source><![CDATA[&#8220;An overview of image super-resolution reconstruction algorithm,&#8221;]]></source>
<year>2018</year>
<conf-name><![CDATA[ 11thInternational Symposium on Computational Intelligence and Design (ISCID)]]></conf-name>
<conf-loc>Hangzhou, China </conf-loc>
</nlm-citation>
</ref>
<ref id="B15">
<label>15</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cui]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Tang]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Nan]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
</person-group>
<source><![CDATA[&#8220;Space target super-resolution based on low-complex convolutional networks,&#8221;]]></source>
<year>2019</year>
<conf-name><![CDATA[ IEEE International Conference on Signal, Information and Data Processing (ICSIDP),]]></conf-name>
<conf-loc>Chongqing, China </conf-loc>
</nlm-citation>
</ref>
<ref id="B16">
<label>16</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Márquez]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Vargas]]></surname>
<given-names><![CDATA[C. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Arguello]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[&#8220;Compact spatio-spectral algorithm for single image super-resolution in hyperspectral imaging,&#8221;]]></article-title>
<source><![CDATA[Ingeniería e Investigación]]></source>
<year>2016</year>
<volume>36</volume>
<numero>3</numero>
<issue>3</issue>
</nlm-citation>
</ref>
<ref id="B17">
<label>17</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Huang]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Fan]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Qi]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhu]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<source><![CDATA[&#8220;A learning-based pocs algorithm for face image super-resolution reconstruction,&#8221;]]></source>
<year>2005</year>
<conf-name><![CDATA[ International Conference on Machine Learning and Cybernetics]]></conf-name>
<conf-loc>Guangzhou, China </conf-loc>
</nlm-citation>
</ref>
<ref id="B18">
<label>18</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Wu]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[W. Kim]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[K. Sangaiah]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<source><![CDATA[&#8220;Long-distance object recognition with image super resolution: A comparative study,&#8221;]]></source>
<year>2018</year>
<conf-name><![CDATA[ presented at IEEE Access,]]></conf-name>
<conf-loc> </conf-loc>
</nlm-citation>
</ref>
<ref id="B19">
<label>19</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hu]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Peng]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Cheng]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
</person-group>
<source><![CDATA[&#8220;Rtsrgan: Real-time super-resolution generative adversarial networks,&#8221;]]></source>
<year>2019</year>
<conf-name><![CDATA[ Seventh International Conference on Advanced Cloud and Big Data (CBD),]]></conf-name>
<conf-loc>Suzhou, China </conf-loc>
</nlm-citation>
</ref>
<ref id="B20">
<label>20</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lee]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Yun]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Hong]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Lee]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Jeon]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<source><![CDATA[&#8220;Accurate license plate recognition and super-resolution using a generative adversarial networks on traffic surveillance video,&#8221;]]></source>
<year>2018</year>
<conf-name><![CDATA[ IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia),]]></conf-name>
<conf-loc>JeJu, Korea (South) </conf-loc>
</nlm-citation>
</ref>
<ref id="B21">
<label>21</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kim]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Bindu]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
</person-group>
<source><![CDATA[&#8220;Realizing real-time deep learning-based super-resolution applications on integrated gpus,&#8221;]]></source>
<year>2016</year>
<conf-name><![CDATA[ 15thIEEE International Conference on Machine Learning and Applications (ICMLA),]]></conf-name>
<conf-loc>Anaheim, USA </conf-loc>
</nlm-citation>
</ref>
<ref id="B22">
<label>22</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Karalasingham]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[C. Deo]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Casillas-Pérez]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Raj]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Salcedo-Sanz]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<source><![CDATA[&#8220;Downscaling surface albedo to higher spatial resolutions with an image super-resolution approach and proba-v satellite images,&#8221;]]></source>
<year>2023</year>
<conf-name><![CDATA[ IEEE Access]]></conf-name>
<conf-loc> </conf-loc>
</nlm-citation>
</ref>
<ref id="B23">
<label>23</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Talab]]></surname>
<given-names><![CDATA[M. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Awang]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[d. M. Najim]]></surname>
<given-names><![CDATA[S. A.]]></given-names>
</name>
</person-group>
<source><![CDATA[&#8220;Super-low resolution face recognition using integrated efficient sub-pixel convolutional neural network (espcn) and convolutional neural network (cnn),&#8221;]]></source>
<year>2019</year>
<conf-name><![CDATA[ IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS),]]></conf-name>
<conf-loc>Selangor, Malaysia </conf-loc>
</nlm-citation>
</ref>
<ref id="B24">
<label>24</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Leftheriotis]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Tzomaka]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Danopoulos]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Lentaris]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Theodoridis]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Soudris]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
</person-group>
<source><![CDATA[&#8220;Evaluating versal acap and conventional fpga platforms for ai inference,&#8221;]]></source>
<year>2023</year>
<conf-name><![CDATA[ 12thInternational Conference on Modern Circuits and Systems Technologies (MOCAST),]]></conf-name>
<conf-loc>Athens, Greece </conf-loc>
</nlm-citation>
</ref>
<ref id="B25">
<label>25</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Shi]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Caballero]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Huszár]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Totz]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Aitken]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Bishop]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<source><![CDATA[&#8220;Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network,&#8221;]]></source>
<year>2016</year>
<conf-name><![CDATA[ IEEE Conference on Computer Vision and Pattern Recognition (CVPR),]]></conf-name>
<conf-loc> </conf-loc>
</nlm-citation>
</ref>
<ref id="B26">
<label>26</label><nlm-citation citation-type="">
<source><![CDATA[Face recognition. GitHub]]></source>
<year>2013</year>
</nlm-citation>
</ref>
<ref id="B27">
<label>27</label><nlm-citation citation-type="">
<source><![CDATA[AI Free. This person does not exist.]]></source>
<year></year>
</nlm-citation>
</ref>
<ref id="B28">
<label>28</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Karras]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Laine]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Aittala]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Hellsten]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Lehtinen]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Aila]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[&#8220;Analyzing and improving the image quality of stylegan,&#8221;]]></article-title>
<source><![CDATA[Arxiv]]></source>
<year>2020</year>
<volume>2</volume>
</nlm-citation>
</ref>
<ref id="B29">
<label>29</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Sanabria-Moyano]]></surname>
<given-names><![CDATA[J. E.]]></given-names>
</name>
<name>
<surname><![CDATA[Roa-Avella]]></surname>
<given-names><![CDATA[M. D. P.]]></given-names>
</name>
<name>
<surname><![CDATA[Lee-Pérez]]></surname>
<given-names><![CDATA[O. I.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[&#8220;Tecnología de reconocimiento facial y sus riesgos en los derechos humanos,&#8221;]]></article-title>
<source><![CDATA[Revista Criminalidad]]></source>
<year>2022</year>
<volume>64</volume>
<numero>3</numero>
<issue>3</issue>
</nlm-citation>
</ref>
<ref id="B30">
<label>30</label><nlm-citation citation-type="">
<source><![CDATA[Cascade Classifier]]></source>
<year></year>
</nlm-citation>
</ref>
</ref-list>
</back>
</article>
