Infrared and Visible Image Fusion Combining Interesting Region Detection and Nonsubsampled Contourlet Transform

The most fundamental purpose of infrared (IR) and visible (VI) image fusion is to integrate the useful information and produce a new image which has higher reliability and understandability for human or computer vision. In order to better preserve the interesting region and its corresponding detail...

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Bibliographic Details
Published in:Journal of sensors 2018-01, Vol.2018 (2018), p.1-15
Main Authors: Nie, Rencan, Zhang, Xuejie, Zhou, Dongming, He, Kangjian
Format: Article
Language:English
Subjects:
Algorithms
Computer vision
Decomposition
Defense industry
Image detection
Image processing
Infrared imagery
Localization
Methods
Neural networks
Object recognition
Principal components analysis
Salience
Signal processing
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Summary:The most fundamental purpose of infrared (IR) and visible (VI) image fusion is to integrate the useful information and produce a new image which has higher reliability and understandability for human or computer vision. In order to better preserve the interesting region and its corresponding detail information, a novel multiscale fusion scheme based on interesting region detection is proposed in this paper. Firstly, the MeanShift is used to detect the interesting region with the salient objects and the background region of IR and VI. Then the interesting regions are processed by the guided filter. Next, the nonsubsampled contourlet transform (NSCT) is used for background region decomposition of IR and VI to get a low-frequency and a series of high-frequency layers. An improved weighted average method based on per-pixel weighted average is used to fuse the low-frequency layer. The pulse-coupled neural network (PCNN) is used to fuse each high-frequency layer. Finally, the fused image is obtained by fusing the fused interesting region and the fused background region. Experimental results demonstrate that the proposed algorithm can integrate more background details as well as highlight the interesting region with the salient objects, which is superior to the conventional methods in objective quality evaluations and visual inspection.
ISSN:1687-725X
1687-7268
DOI:10.1155/2018/5754702