Paper
21 February 2014 An infrared polarization image fusion algorithm based on oriented Laplacian pyramid
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Abstract
Based on characteristics that infrared polarization image can restrain background noise greatly and can be more sensitive to target edge information, a polarization image fusion algorithm based on oriented Laplacian pyramid is proposed in this paper. The method is mainly used in image fusion between the infrared radiation intensity image I and degree of polarization image P in order to increase the amount of information of the image. First, each Gaussian pyramid level is decomposed in different directions to get oriented Laplacian pyramid. Second, the oriented Laplacian pyramid level images of the image I and the image P are fused with the criterion of direction gradient to get fused oriented Laplacian pyramid level images. At last, the fused image is acquired by image reconstruction. The result of experiment shows that this method could add the polarization characteristics into the original intensity image, increase the image contrast and clarity, and make the overall visual effect better.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhen Yue and Fan-Ming Li "An infrared polarization image fusion algorithm based on oriented Laplacian pyramid", Proc. SPIE 9142, Selected Papers from Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics: Optical Imaging, Remote Sensing, and Laser-Matter Interaction 2013, 914208 (21 February 2014); https://doi.org/10.1117/12.2054074
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Cited by 10 scholarly publications.
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KEYWORDS
Image fusion

Polarization

Infrared radiation

Infrared imaging

Image restoration

Imaging systems

Image information entropy

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