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Multispectral Fusion of RGB and NIR Images Using Weighted Least Squares and Alternating Guidance

Abstract: 

In low light condition, color (RGB) images captured by camera contain much noise and loss of details and color. However, near infrared (NIR) images are robust to noise and have clear textures without color. In this paper, we propose multi-spectral fusion of RGB and NIR images using weighted least squares (WLS) and alternating guidance. Low light RGB images provide coarse image structure and color, while NIR images offer clear textures in a short distance. Since they are complementary, we adopt alternating guidance for fusion of RGB and NIR images based on WLS. First, we perform the first guidance for denoising on noisy RGB image to get base layer. Then, we conduct the second guidance for texture transfer on NIR image to get detail layer. Finally, we combine base and detail layers to produce a fusion result. We maximize the advantage of multispectral input (RGB and NIR) for fusion based on alternating guidance. Experimental results demonstrate that the proposed method achieves good performance in noise reduction, detail preservation and color reproduction as well as outperforms state-of-the-art ones in terms of quantitative measurement and computational efficiency.

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Paper Details

Authors:
Kailong Zhou,Cheolkon Jung
Submitted On:
14 May 2020 - 10:07pm
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Kailong Zhou
Paper Code:
CI-P1.1
Document Year:
2020
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Document Files

ICASSP2020_Multispectral Fusion of RGB and NIR Images Using Weighted Least Squares and Alternating Guidance.pdf

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[1] Kailong Zhou,Cheolkon Jung, "Multispectral Fusion of RGB and NIR Images Using Weighted Least Squares and Alternating Guidance", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5329. Accessed: Oct. 01, 2020.
@article{5329-20,
url = {http://sigport.org/5329},
author = {Kailong Zhou,Cheolkon Jung },
publisher = {IEEE SigPort},
title = {Multispectral Fusion of RGB and NIR Images Using Weighted Least Squares and Alternating Guidance},
year = {2020} }
TY - EJOUR
T1 - Multispectral Fusion of RGB and NIR Images Using Weighted Least Squares and Alternating Guidance
AU - Kailong Zhou,Cheolkon Jung
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5329
ER -
Kailong Zhou,Cheolkon Jung. (2020). Multispectral Fusion of RGB and NIR Images Using Weighted Least Squares and Alternating Guidance. IEEE SigPort. http://sigport.org/5329
Kailong Zhou,Cheolkon Jung, 2020. Multispectral Fusion of RGB and NIR Images Using Weighted Least Squares and Alternating Guidance. Available at: http://sigport.org/5329.
Kailong Zhou,Cheolkon Jung. (2020). "Multispectral Fusion of RGB and NIR Images Using Weighted Least Squares and Alternating Guidance." Web.
1. Kailong Zhou,Cheolkon Jung. Multispectral Fusion of RGB and NIR Images Using Weighted Least Squares and Alternating Guidance [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5329