中国科学院光电技术研究所机构知识库
Advanced  
IOE OpenIR  > 光电技术研究所被WoS收录文章  > 期刊论文
题名:
Restoration of Degraded Images Using Pupil-Size Diversity Technology With Stochastic Parallel Gradient Descent Algorithm
作者: Xie, Zongliang1,2,3; Ma, Haotong1,2,4; Qi, Bo1,2; Ren, Ge1,2; Tan, Yufeng1,2,3; He, Bi1,2,3; Zeng, Hengliang1,2,3; Jiang, Chuan1,2,3
刊名: IEEE PHOTONICS JOURNAL
出版日期: 2016-04-01
卷号: 8, 期号:2
关键词: Pupil-size diversity ; nonlinear optimization ; aberration elimination ; stochastic parallel gradient descent (SPGD) algorithm
DOI: 10.1109/JPHOT.2016.2541861
文章类型: Article
英文摘要: The performance of imaging systems is inevitably degraded by aberrations of optical systems. Furthermore, images detected by long-distance imaging schemes also suffer blurring induced by atmospheric turbulence. To address this problem, we propose and demonstrate an aberration-free imaging procedure in this paper, which is termed pupil-size diversity technology. With no additional optical element, the reported technique first acquires several intensity images only by simply resizing the pupil of an imaging system. The spatial difference of pupil areas generates pupil diversity. Then, based on the nonlinear optimization method, a high-quality image eliminating distortions can be reconstructed by processing the multiple diversity images with the stochastic parallel gradient descent algorithm. Comparative results of simulations and experiments, for correcting inner and external aberrations, respectively, verify the validity. The proposed technology in this paper may provide an alternative for adaptive optics systems and find wide applications in computational photography and remote sensing.
WOS标题词: Science & Technology ; Technology ; Physical Sciences
类目[WOS]: Engineering, Electrical & Electronic ; Optics ; Physics, Applied
研究领域[WOS]: Engineering ; Optics ; Physics
关键词[WOS]: PHASE-DIVERSITY ; ATMOSPHERIC-TURBULENCE ; DIGITAL HOLOGRAPHY ; DECONVOLUTION ; RESOLUTION ; OBJECT
收录类别: SCI
项目资助者: National Natural Science Foundation of China(61205144) ; Research Project of National University of Defense Technology(JC13-07-01) ; Key Laboratory of High Power Laser and Physics, CAS
语种: 英语
WOS记录号: WOS:000373053400034
ISSN号: 1943-0655
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.ioe.ac.cn/handle/181551/3894
Appears in Collections:光电技术研究所被WoS收录文章_期刊论文

Files in This Item:

There are no files associated with this item.


作者单位: 1.Chinese Acad Sci, Inst Opt & Elect, Chengdu 610209, Peoples R China
2.Chinese Acad Sci, Key Lab Opt Engn, Chengdu 610209, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100039, Peoples R China
4.Natl Univ Def Technol, Coll Optoelect Sci & Engn, Changsha 410073, Hunan, Peoples R China

Recommended Citation:
Xie, Zongliang,Ma, Haotong,Qi, Bo,et al. Restoration of Degraded Images Using Pupil-Size Diversity Technology With Stochastic Parallel Gradient Descent Algorithm[J]. IEEE PHOTONICS JOURNAL,2016,8(2).
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Xie, Zongliang]'s Articles
[Ma, Haotong]'s Articles
[Qi, Bo]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Xie, Zongliang]‘s Articles
[Ma, Haotong]‘s Articles
[Qi, Bo]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

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

 

 

Valid XHTML 1.0!
Copyright © 2007-2016  中国科学院光电技术研究所 - Feedback
Powered by CSpace