Enhancing Facial Recognition in Surveillance Systems through Embedded Super-resolution
Andrés David Gómez-Bautista,
Francisco Carlos Calderón-Bocanegra
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… Show more
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