Enhancing Facial Recognition in Surveillance Systems through Embedded Super-resolution

Enhancing Facial Recognition in Surveillance Systems through Embedded Super-resolution

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...

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Bibliographic Details
Main Authors: Andrés David Gómez-Bautista, Francisco Carlos Calderón-Bocanegra
Format: Article
Language:English
Published: Universidad de Antioquia 2024-02-01
Series:Revista Facultad de Ingeniería Universidad de Antioquia
Subjects:
super-resolution
face enhancement
computer vision
surveillance
machine learning
Online Access:https://revistas.udea.edu.co/index.php/ingenieria/article/view/353773

Internet

https://revistas.udea.edu.co/index.php/ingenieria/article/view/353773

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