PT Unknown
AU Cristhian Aguilera
   Xavier Soria
   Angel Sappa
   Ricardo Toledo
TI RGBN Multispectral Images: a Novel Color Restoration Approach
BT 15th International Conference on Practical Applications of Agents and Multi-Agent System
PY 2017
DE Multispectral Imaging; Free Sensor Model; Neural Network
AB 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.
ER