SIA OpenIR  > 光电信息技术研究室
Infrared stripe correction algorithm based on wavelet decomposition and total variation-guided filtering
Wang ED(王恩德)1,2; Jiang P(姜平)1,2,3; Li XP(李学鹏)1,2; Cao H(曹晖)1,2
Department光电信息技术研究室
Corresponding AuthorJiang, Ping(pingjiang415@163.com)
Source PublicationJOURNAL OF THE EUROPEAN OPTICAL SOCIETY-RAPID PUBLICATIONS
ISSN1990-2573
2020
Volume16Issue:1Pages:1-12
Indexed BySCI ; EI
EI Accession number20200107972635
WOS IDWOS:000504963700001
Contribution Rank1
Funding OrganizationShenyang Institute of Automation, Chinese Academy of Sciences
KeywordFocal-plane array non-uniformity correction Infrared image Multi-scale Destriping
Abstract

Stripe non-uniformity severely affects the quality of infrared images. It is challenging to remove stripe noise in low-texture images without blurring the details. We propose a single-frame image stripe correction algorithm that removes infrared noise while preserving image details. Firstly, wavelet transform is used for multi-scale analysis of the image. At the same time, Total variation model is used for small window to smooth the original image. The small-scale total variation model can well preserve the edge information of the image, but it will leave stripe noise. Therefore, according to the prior knowledge of the vertical component of the stripe noise, the spatial filtering is finally performed: the smoothed image is used as the guide image for the stripe noise denoising. It is possible to prevent the lead filter from mistaking the strong stripe noise as edge detail, resulting in corrected image residual streak noise. The algorithm is systematically evaluated by experiments on simulated images and original infrared images, as well as compared with the current advanced infrared stripe non-uniformity correction algorithms. It is proved that our algorithm can better eliminate stripe noise and preserve edge details.

Language英语
WOS SubjectOptics
WOS KeywordNONUNIFORMITY CORRECTION ; NOISE REMOVAL ; SEQUENCES ; IMAGES
WOS Research AreaOptics
Funding ProjectShenyang Institute of Automation, Chinese Academy of Sciences
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/26170
Collection光电信息技术研究室
Corresponding AuthorJiang P(姜平)
Affiliation1.Shenyang institute of automation, Chinese Academy of Sciences, 114, Nanta Street, Shenhe District, Shenyang 110016, Liaoning, China
2.Key Laboratory of Optical Electrical Image Processing, Chinese Academy of Sciences, 114, Nanta Street, Shenhe District, Shenyang 110016, Liaoning, China
3.College of automation and Electrical Engineering, Shenyang Ligong University, NO. 6 Nanping Middle Road, Hunnan District, Shenyang 110159, Liaoning, China
Recommended Citation
GB/T 7714
Wang ED,Jiang P,Li XP,et al. Infrared stripe correction algorithm based on wavelet decomposition and total variation-guided filtering[J]. JOURNAL OF THE EUROPEAN OPTICAL SOCIETY-RAPID PUBLICATIONS,2020,16(1):1-12.
APA Wang ED,Jiang P,Li XP,&Cao H.(2020).Infrared stripe correction algorithm based on wavelet decomposition and total variation-guided filtering.JOURNAL OF THE EUROPEAN OPTICAL SOCIETY-RAPID PUBLICATIONS,16(1),1-12.
MLA Wang ED,et al."Infrared stripe correction algorithm based on wavelet decomposition and total variation-guided filtering".JOURNAL OF THE EUROPEAN OPTICAL SOCIETY-RAPID PUBLICATIONS 16.1(2020):1-12.
Files in This Item: Download All
File Name/Size DocType Version Access License
Infrared stripe corr(2463KB)期刊论文出版稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wang ED(王恩德)]'s Articles
[Jiang P(姜平)]'s Articles
[Li XP(李学鹏)]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wang ED(王恩德)]'s Articles
[Jiang P(姜平)]'s Articles
[Li XP(李学鹏)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wang ED(王恩德)]'s Articles
[Jiang P(姜平)]'s Articles
[Li XP(李学鹏)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Infrared stripe correction algorithm based on wavelet decomposition and total variation-guided filtering.pdf
Format: Adobe PDF
This file does not support browsing at this time
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.