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Elimination of CMOS fixed pattern noise based on PCA wavelet transform
Zhang T(张涛)1,2,3; Li, Xinyang1; Li, Jianfeng2; Xu Z(徐稚)3
会议录名称Proceedings of SPIE - SEVENTH SYMPOSIUM ON NOVEL PHOTOELECTRONIC DETECTION TECHNOLOGY AND APPLICATIONS
2021
卷号11763
DOI10.1117/12.2586899
会议录编者/会议主办者Su, J ; Chu, J ; Jiang, H ; Yu, Q
产权排序第3完成单位
收录类别EI ; CPCI
会议名称7th Symposium on Novel Photoelectronic Detection Technology and Applications
会议日期2020-11-05
会议地点Kunming, PEOPLES R CHINA
会议赞助商Chinese Soc Opt Engn, Sci & Technol Low Light Level Night Vis Lab, Yunnan Univ, Xian Technol Univ
关键词FPN optimization wavelet principal component analysis low rank
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.

资助项目N/A
项目资助者N/A
语种英语
学科领域电子、通信与自动控制技术
文章类型Proceedings Paper
出版者SPIE-INT SOC OPTICAL ENGINEERING
出版地1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA
ISBN号978-1-5106-4362-8
ISSN号0277-786X
URL查看原文
WOS记录号WOS:000671015900150
WOS研究方向Optics
WOS类目Optics
关键词[WOS]IMAGES ; REMOVAL ; STRIPE
EI入藏号0211410162163
EI主题词Wavelet transforms
EI分类号714.2 Semiconductor Devices and Integrated Circuits - 921.3 Mathematical Transformations
引用统计
文献类型会议论文
条目标识符http://ir.ynao.ac.cn/handle/114a53/24203
专题天文技术实验室
光纤阵列太阳光学望远镜研究组
通讯作者Li, Xinyang
作者单位1.Key Laboratory of Adaptive Optics, Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, 610209, China
2.School of Optoelectronic Information, University of Electronic Science and Technology, Chengdu 611731, China
3.Astronomical Technology Laboratory, Yunnan Observatory, Chinese Academy of Sciences, Kunming 650216, China
第一作者单位中国科学院云南天文台
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]//Su, J, Chu, J, Jiang, H, Yu, Q. 1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA:SPIE-INT SOC OPTICAL ENGINEERING,2021.
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