期刊
INFRARED PHYSICS & TECHNOLOGY
卷 72, 期 -, 页码 266-275出版社
ELSEVIER
DOI: 10.1016/j.infrared.2015.07.026
关键词
Infrared images; Fast non-subsampled contourlet transform; Pixel information evaluation; Image fusion
资金
- National Science Foundation of China [61405041]
- China Postdoctoral Science Foundation [2014M551221]
- Heilongjiang Postdoctoral Science Found [LBHZ13057]
- Heilongjiang Natural Science Foundation [ZD201216]
- Program Excellent Academic Leaders of Harbin [RC2013XK009003]
- Fundamental Research Funds for the Central Universities [HEUCF1508]
Fusion of infrared and visible light images is an effective way to obtain a simultaneous visualization of details of background provided by visible light image and hiding target information provided by infrared image, which is more suitable for browsing and further processing. Two crucial components for infrared and visual light image fusion are improving its fusion performance as well as reducing its computational burden. In this paper, a novel fusion algorithm named pixel information estimation is proposed, which determines the weights by evaluating the information of pixel and is well applied in visible light and infrared image fusion with better fusion quality and lower time-consumption. Besides, a fast realization of non-subsampled contourlet transform is also proposed in this paper to improve the computational efficiency. To verify the advantage of the proposed method, this paper compares it with several popular ones in six evaluation metrics over four different image groups. Experimental results show that the proposed algorithm gets a more effective result with much less time consuming and performs well in both subjective evaluation and objective indicators. (c) 2015 Elsevier B.V. All rights reserved.
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