RGBN Multispectral Images: a Novel Color Restoration Approach

Aguilera, Cristhian A.; Soria, Xavier; Sappa, Angel D.; Toledo, Ricardo


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 valuated on real images obtained by using a pair of RGBN cameras. Additionally, qualitative comparisons with a naive color correction technique based on mean square error minimization are provided.

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Fecha de publicación: 2017
Idioma: English