No-reference laser-dazzling image quality assessment based on feature-point complexity

	No-reference laser-dazzling image quality assessment based on feature-point complexity
	Qian, F.; T. Sun; J. Guo and T.-F. Wang
	2015
发表期刊	Guangxue Jingmi Gongcheng/Optics and Precision Engineering
卷号	23 期号:4 页码:1179-1186
摘要	The validity of target recognition and target detection depend on the accuracy of target extraction, this paper establishes an experiment platform of laser active imaging system combining laser active image technology and target recognition technology. The image quality and feature-point extraction were researched in the target area after laser jamming, and a new No-reference Feature-point Complexity Metrics(NRFPCM) assessment algorithm was proposed. In the algorithm, the feature-point, texture, gradient and contrast complexity were computed in the target area, then the normalized NRFPCM was obtained via production of the four factors above. Finally, the luminance imaging experiment was performed for the target by utilizing the laser active imaging system and the disturbed images with different disturbing powers and different spot positions were obtained. The proposed NRFPCM algorithm was used to evaluate the standard image database and the newly obtained laser-dazzling images. The results show that the proposed algorithm reflects the image quality objectively and gives a more reasonable evaluation results for different laser-dazzling images. Moreover, evaluation results are more suitable for the subjective visual feeling. The NRFPCM gives the guidance to the laser active imaging system in the defense and application. , 2015, Chinese Academy of Sciences. All right reserved.
文章类型	期刊论文
收录类别	EI
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/56081
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Qian, F.,T. Sun,J. Guo and T.-F. Wang. No-reference laser-dazzling image quality assessment based on feature-point complexity[J]. Guangxue Jingmi Gongcheng/Optics and Precision Engineering,2015,23(4):1179-1186.
APA	Qian, F.,T. Sun,&J. Guo and T.-F. Wang.(2015).No-reference laser-dazzling image quality assessment based on feature-point complexity.Guangxue Jingmi Gongcheng/Optics and Precision Engineering,23(4),1179-1186.
MLA	Qian, F.,et al."No-reference laser-dazzling image quality assessment based on feature-point complexity".Guangxue Jingmi Gongcheng/Optics and Precision Engineering 23.4(2015):1179-1186.

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