期刊
INFRARED PHYSICS & TECHNOLOGY
卷 74, 期 -, 页码 28-37出版社
ELSEVIER
DOI: 10.1016/j.infrared.2015.11.002
关键词
Image fusion; Contourlet transform; PCA; Morphology
资金
- Natural Science Foundation of Jiangsu Province China [BK20130767]
- Fundamental Research Funds for the Central Universities [30920130122004]
In this paper, an improved fusion algorithm for infrared and visible images based on multi-scale transform is proposed. First of all, Morphology-Hat transform is used for an infrared image and a visible image separately. Then two images were decomposed into high-frequency and low-frequency images by contourlet transform (CT). The fusion strategy of high-frequency images is based on mean gradient and the fusion strategy of low-frequency images is based on Principal Component Analysis (PCA). Finally, the final fused image is obtained by using the inverse contourlet transform (ICT). The experiments and results demonstrate that the proposed method can significantly improve image fusion performance, accomplish notable target information and high contrast and preserve rich details information at the same time. (C) 2015 Elsevier B.V. All rights reserved.
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