Elimination of CMOS fixed pattern noise based on PCA wavelet transform

doi:10.1117/12.2586899

	Elimination of CMOS fixed pattern noise based on PCA wavelet transform
	Zhang T(张涛)1,2,3; Li, Xinyang 3; Li, Jianfeng 2; Xu Z(徐稚)1
	2021
会议日期	2020-11-05
会议地点	Kunming, China
关键词	FPN optimization wavelet principal component analysis low rank
卷号	11763
DOI	10.1117/12.2586899
英文摘要	This paper presents an effective fixed pattern noise (FPN) removal method (PCA wavelet method). Compared with the traditional filtering method and statistical method, PCA wavelet method has better denoising effect. Compared with the optimization method, PCA wavelet method has faster processing speed. It is a comprehensive FPN removal method. Compared with the optimization method, this method does not need complicated parameter adjustment process, but has similar denoising effect with the optimization method. This method is very suitable for the engineering application which has certain requirements for calculation speed and denoising effect.
产权排序	第3完成单位
会议录	Proceedings of SPIE - 7th Symposium on Novel Photoelectronic Detection Technology and Applications
会议录出版者	SPIE
文献子类	Conference article (CA)
学科主题	电子、通信与自动控制技术
语种	英语
URL标识	查看原文
ISSN号	0277-786X
内容类型	会议论文
源URL	[http://ir.ynao.ac.cn/handle/114a53/24203]
专题	天文技术实验室
通讯作者	Li, Xinyang
作者单位	1.School of Optoelectronic Information, University of Electronic Science and Technology, Chengdu; 611731, China 2.Astronomical Technology Laboratory, Yunnan Observatory, Chinese Academy of Sciences, Kunming, 650216, China 3.Key Laboratory of Adaptive Optics, Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, 610209, China
推荐引用方式 GB/T 7714	Zhang T,Li, Xinyang,Li, Jianfeng,et al. Elimination of CMOS fixed pattern noise based on PCA wavelet transform[C]. 见:. Kunming, China. 2020-11-05.