Gradient sky scene based nonuniformity correction and local weighted filter based denoising

doi:10.1016/j.ijleo.2018.06.125

CIOMP OpenIR

	Gradient sky scene based nonuniformity correction and local weighted filter based denoising
	Liu, R.; Wang, D. J.; Jia, P.; Che, X.
	2018
发表期刊	Optik
ISSN	0030-4026
卷号	174 页码:748-756
摘要	The nonuniformity of infrared focal plane array (IRFPA) seriously affects the image quality and the measurement accuracy of the infrared detector system. Long-wave infrared (LWIR) detector has highly sensitivity and image unstable factors, and the nonuniformity tends to drift slowly with the change of the environment. In this paper, we propose a new nonuniformity correction (NUC) algorithm based on gradient sky scene. Firstly, we obtain the two-point calibration images at two different pitch angles in the pure sky without any cloud. And then, the gain and offset coefficients are calculated from the standard two-point NUC. Finally, the local weighted filter based denoising algorithm is employed to eliminate a few residual isolated noise. Computational result shows that the SNR gain of the proposed method is increased 2.50 dB compared to the standard two-point method based on uniform blackbody. Results indicate that the proposed algorithm exhibits a superior correction effect and has the advantage of low complexity which meets the real-time requirements.
关键词	Nonuniformity correction Gradient sky scene Local weighted filter Residual isolated noise focal-plane arrays sensors Optics
DOI	10.1016/j.ijleo.2018.06.125
收录类别	SCI ; EI
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/61005
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	Liu, R.,Wang, D. J.,Jia, P.,et al. Gradient sky scene based nonuniformity correction and local weighted filter based denoising[J]. Optik,2018,174:748-756.
APA	Liu, R.,Wang, D. J.,Jia, P.,&Che, X..(2018).Gradient sky scene based nonuniformity correction and local weighted filter based denoising.Optik,174,748-756.
MLA	Liu, R.,et al."Gradient sky scene based nonuniformity correction and local weighted filter based denoising".Optik 174(2018):748-756.

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