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 |
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 |
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
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