@InProceedings{RafaelE.Rivadeneira2019,
author="Rafael E. Rivadeneira
and Patricia Suarez
and Angel Sappa
and Boris X. Vintimilla",
title="Thermal Image SuperResolution Through Deep Convolutional Neural Network",
booktitle="16th International Conference on Images Analysis and Recognition",
year="2019",
pages="417--426",
abstract="Due to the lack of thermal image datasets, a new dataset has been acquired for proposed a super-resolution approach using a Deep Convolution Neural Network schema. In order to achieve this image enhancement process, a new thermal images dataset is used. Different experiments have been carried out, firstly, the proposed architecture has been trained using only images of the visible spectrum, and later it has been trained with images of the thermal spectrum, the results showed that with the network trained with thermal images, better results are obtained in the process of enhancing the images, maintaining the image details and perspective. The thermal dataset is available at http://www.cidis.espol.edu.ec/es/dataset.",
optnote="MSIAU; 600.130; 601.349; 600.122",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=3269), last updated on Tue, 25 Apr 2023 14:57:06 +0200",
opturl="https://link.springer.com/chapter/10.1007/978-3-030-27272-2_37",
file=":http://refbase.cvc.uab.es/files/RSS2019.pdf:PDF"
}