@InProceedings{CristhianAguilera2017,
author="Cristhian Aguilera
and Xavier Soria
and Angel Sappa
and Ricardo Toledo",
title="RGBN Multispectral Images: a Novel Color Restoration Approach",
booktitle="15th International Conference on Practical Applications of Agents and Multi-Agent System",
year="2017",
optkeywords="Multispectral Imaging",
optkeywords="Free Sensor Model",
optkeywords="Neural Network",
abstract="This paper describes a color restoration technique used to remove NIR information from single sensor cameras where color and near-infrared images are simultaneously acquired|referred to in the literature as RGBN images. The proposed approach is based on a neural network architecture that learns the NIR information contained in the RGBN images. The proposed approach is evaluated on real images obtained by using a pair of RGBN cameras. Additionally, qualitative comparisons with a nave color correction technique based on mean squareerror minimization are provided.",
optnote="ADAS; MSIAU; 600.118; 600.122",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2918), last updated on Wed, 24 Nov 2021 12:23:15 +0100",
file=":http://refbase.cvc.uab.es/files/ASS2017.pdf:PDF"
}