Fusionnet: Multispectral Fusion of RGB and NIR Images Using Two Stage Convolutional Neural Networks

Fusionnet: Multispectral Fusion of RGB and NIR Images Using Two Stage Convolutional Neural Networks

In low light condition, color (RGB) images captured by imaging systems suffer from severe noise causing loss of colors and textures. Near infrared (NIR) images, which tend to ignore interference from external lights, have advantage of capturing invisible information that can not be obtained by regul...

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Bibliographic Details
Main Authors: Cheolkon Jung, Kailong Zhou, Jiawei Feng
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Image fusion
color
convolutional neural network
FusionNet
near infrared
Online Access:https://ieeexplore.ieee.org/document/8966326/

Internet

https://ieeexplore.ieee.org/document/8966326/

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