NDLI: Adaptive polarization image fusion based on regional energy dynamic weighted average

Content Provider	Springer Nature Link
Author	Zhao, Yong qiang Pan, Quan Zhang, Hong cai
Copyright Year	2005
Abstract	According to the principle of polarization imaging and the relation between Stokes parameters and the degree of linear polarization, there are much redundant and complementary information in polarized images. Since man-made objects and natural objects can be easily distinguished in images of degree of linear polarization and images of Stokes parameters contain rich detailed information of the scene, the clutters in the images can be removed efficiently while the detailed information can be maintained by combining these images. An algorithm of adaptive polarization image fusion based on regional energy dynamic weighted average is proposed in this paper to combine these images. Through an experiment and simulations, most clutters are removed by this algorithm. The fusion method is used for different light conditions in simulation, and the influence of lighting conditions on the fusion results is analyzed.
Starting Page	224
Ending Page	227
Page Count	4
File Format	PDF
ISSN	16731905
Journal	Optoelectronics Letters
Volume Number	1
Issue Number	3
e-ISSN	19935013
Language	English
Publisher	Tianjin University of Technology
Publisher Date	2005-01-01
Publisher Place	Tianjin
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Applied Optics, Optoelectronics, Optical Devices
Content Type	Text
Resource Type	Article
Subject	Atomic and Molecular Physics, and Optics Condensed Matter Physics Electronic, Optical and Magnetic Materials Electrical and Electronic Engineering

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