RGBN multispectral images: A novel color restoration approach

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 naïve color correction technique based on mean square error minimization are provided.

Año de publicación:

2017

Keywords:

• neural network
• Multispectral imaging
• Free sensor model

Fuente:

scopus

google