Image and Signal Processing Methods

Weber-aware weighted mutual information evaluation for infrared–visible image fusion

[+] Author Affiliations
Xiaoyan Luo, Ding Yuan

Beihang University, Image Processing Center, School of Astronautics, XueYuan Road No. 37, HaiDian District, Beijing 100191, China

Shining Wang

China Waterborne Transport Research Institute, XiTuCheng Road No. 8, HaiDian District, Beijing 100088, China

J. Appl. Remote Sens. 10(4), 045004 (Oct 13, 2016). doi:10.1117/1.JRS.10.045004
History: Received May 3, 2016; Accepted September 23, 2016
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Abstract.  A performance metric for infrared and visible image fusion is proposed based on Weber’s law. To indicate the stimulus of source images, two Weber components are provided. One is differential excitation to reflect the spectral signal of visible and infrared images, and the other is orientation to capture the scene structure feature. By comparing the corresponding Weber component in infrared and visible images, the source pixels can be marked with different dominant properties in intensity or structure. If the pixels have the same dominant property label, the pixels are grouped to calculate the mutual information (MI) on the corresponding Weber components between dominant source and fused images. Then, the final fusion metric is obtained via weighting the group-wise MI values according to the number of pixels in different groups. Experimental results demonstrate that the proposed metric performs well on popular image fusion cases and outperforms other image fusion metrics.

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© 2016 Society of Photo-Optical Instrumentation Engineers

Topics

Image fusion

Citation

Xiaoyan Luo ; Shining Wang and Ding Yuan
"Weber-aware weighted mutual information evaluation for infrared–visible image fusion", J. Appl. Remote Sens. 10(4), 045004 (Oct 13, 2016). ; http://dx.doi.org/10.1117/1.JRS.10.045004


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