%0 Conference Proceedings
%T RGBN Multispectral Images: a Novel Color Restoration Approach
%A Cristhian Aguilera
%A Xavier Soria
%A Angel Sappa
%A Ricardo Toledo
%B 15th International Conference on Practical Applications of Agents and Multi-Agent System
%D 2017
%F Cristhian Aguilera2017
%O ADAS; MSIAU; 600.118; 600.122
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=2918), last updated on Wed, 24 Nov 2021 12:23:15 +0100
%X 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.
%K Multispectral Imaging
%K Free Sensor Model
%K Neural Network
%U http://refbase.cvc.uab.es/files/ASS2017.pdf