中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Elimination of CMOS fixed pattern noise based on PCA wavelet transform

文献类型:会议论文

作者Zhang T(张涛)1,2,3; Li, Xinyang1; Li, Jianfeng2; Xu Z(徐稚)3
出版日期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
DOI10.1117/12.2586899
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
源URL[http://ir.ynao.ac.cn/handle/114a53/24203]  
专题天文技术实验室
云南天文台_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.Astronomical Technology Laboratory, Yunnan Observatory, Chinese Academy of Sciences, Kunming, 650216, China
3.School of Optoelectronic Information, University of Electronic Science and Technology, Chengdu; 611731, 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.

入库方式: OAI收割

来源:云南天文台

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。