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Proceedings Paper

Image fusion with guided saliency
Author(s): Ruxi Xiang; Xifang Zhu; Feng Wu; Qingquan Xu
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Paper Abstract

To obtain maximum possible details from source imagery, we propose a fast and effective image fusion method with guided saliency(IFGS). Our method first computes the saliency maps of all source images, and then each guided saliency map is generated using Logarithmic spectrum with an adaptive threshold value. Next, the weight of each component is computed by the guided gradient (FGG) method. Finally, the coefficients of the fused image are obtained by linearly combining the weights of the source images with the coefficients of the corresponding images. Experimental results demonstrate that our method can generate high-quality fusion images with better color and more details from multi-focus and multi-exposure compared to other fusion methods.

Paper Details

Date Published: 12 November 2019
PDF: 3 pages
Proc. SPIE 11197, SPIE Future Sensing Technologies, 111970Z (12 November 2019); doi: 10.1117/12.2542788
Show Author Affiliations
Ruxi Xiang, Changzhou Institute of Technology (China)
Xifang Zhu, Changzhou Institute of Technology (China)
Feng Wu, Changzhou Institute of Technology (China)
Qingquan Xu, Changzhou Institute of Technology (China)

Published in SPIE Proceedings Vol. 11197:
SPIE Future Sensing Technologies
Masafumi Kimata; Christopher R. Valenta, Editor(s)

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