Xie Bing, Duan Zhemin, Ma Pengge, Chen Yu. SR reconstruction algorithm of infrared image based on dynamic pyramid model[J]. Infrared and Laser Engineering, 2018, 47(1): 126001-0126001(6). doi: 10.3788/IRLA201847.0126001
| Citation:
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Xie Bing, Duan Zhemin, Ma Pengge, Chen Yu. SR reconstruction algorithm of infrared image based on dynamic pyramid model[J]. Infrared and Laser Engineering, 2018, 47(1): 126001-0126001(6). doi: 10.3788/IRLA201847.0126001
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SR reconstruction algorithm of infrared image based on dynamic pyramid model
- 1.
School of Electronics and Information,Northwestern Polytechnical University,Xi'an 710072,China;
- 2.
School of Electronics Communications Engineering,Zhengzhou University of Aeronautics,Zhengzhou 450015,China
- Received Date: 2017-06-22
- Rev Recd Date:
2017-08-11
- Publish Date:
2018-01-25
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Abstract
During the complex flight process of UAV, the affections such as atmospheric disturbances, optical equipment imaging and other factors, result in low resolution of the acquainted infrared images. In addition, the resolution of each frame infrared image may be different, and extraction of a salient map using the traditional fixed-level decomposition of the pyramid model will be different in the same area, which causes extraction of interested region of UAV difficult, and cannot use visual technology to achieve UAV target positioning and autonomous navigation. In this paper, an improved the interested regional extraction for infrared image and SR reconstruction algorithm based on Itti model was proposed. Firstly, the multi-feature was introduced to construct hierarchical model of the pyramid dynamic of the infrared image sequence. Secondly, the dynamic extraction of the interested region for multi-frame infrared images of different resolution was used to overcome the shortcomings of the traditional Itti algorithm. Finally, the new infrared image reconstruction algorithm based on Fletcher-Reeves majorization-minimization was proposed for spatial SR reconstruction of the interested region to improve the spatial resolution of the interested regional target. Experimental results prove the validity and accuracy of the proposed algorithm.
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