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Proceedings Paper

IR image quality assessment and real-time optimum seeking method based on dynamic visual characteristics
Author(s): Bin Li; Gang Liu; Yongmin Gao; Hao Lei; Haiying Wu; Yu Wang; Xiaolong Rong
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Paper Abstract

Image quality is an important factor that influences the dynamic target information perception; it is the key factor of real-time target state analysis and judgment. In order to solve the multi-observation station comparison and video optimum seeking problem in the process of target information perception and recognition, an image quality assessment method based on visual characteristics is proposed for infrared target tracking. First, it analyses the basic infrared target image characteristics and application requirements, analyses the status and problems of the multi station optimum seeking technology. According to the expected research results, the processing flow of image processing is established. Then, the image quality objective assessment index is established, which reflects the basic characteristics of the target image, and the assessment index is integrated into the normalized assessment function. According to the quality assessment function, the infrared image quality assessment based on infrared target recognition and image analysis processing is realized, which is mainly characterized by the region of interest and dynamic visual characteristics. And on the basis of this technology, the real-time optimum seeking of multi station infrared target tracking image is completed. In order to verify the effectiveness of the method and the practical application effect, it designs the quality assessment and comparison of different station infrared images. Example shows that the method proposed in this paper can realize multi-observation station infrared image assessment comparison, image quality sorting, the optimum seeking of the infrared image based on the quality assessment. The results accord with the characteristics of infrared target image and dynamic visual characteristics.

Paper Details

Date Published: 25 October 2016
PDF: 8 pages
Proc. SPIE 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control, 101570X (25 October 2016); doi: 10.1117/12.2244971
Show Author Affiliations
Bin Li, Huayin Ordnance Test Ctr. (China)
Gang Liu, Huayin Ordnance Test Ctr. (China)
Yongmin Gao, Huayin Ordnance Test Ctr. (China)
Hao Lei, Huayin Ordnance Test Ctr. (China)
Haiying Wu, Huayin Ordnance Test Ctr. (China)
Yu Wang, Huayin Ordnance Test Ctr. (China)
Xiaolong Rong, Huayin Ordnance Test Ctr. (China)


Published in SPIE Proceedings Vol. 10157:
Infrared Technology and Applications, and Robot Sensing and Advanced Control

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