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Restoration of Degraded Images Using Pupil-Size Diversity Technology With Stochastic Parallel Gradient Descent Algorithm

文献类型：期刊论文

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
ISSN号1943-0655
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
语种英语
WOS记录号WOS:000373053400034
源URL[http://ir.ioe.ac.cn/handle/181551/3894]  
专题光电技术研究所_光电技术研究所被WoS收录文章
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
推荐引用方式
GB/T 7714		 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).
APA Xie, Zongliang.,Ma, Haotong.,Qi, Bo.,Ren, Ge.,Tan, Yufeng.,...&Jiang, Chuan.(2016).Restoration of Degraded Images Using Pupil-Size Diversity Technology With Stochastic Parallel Gradient Descent Algorithm.IEEE PHOTONICS JOURNAL,8(2).
MLA Xie, Zongliang,et al."Restoration of Degraded Images Using Pupil-Size Diversity Technology With Stochastic Parallel Gradient Descent Algorithm".IEEE PHOTONICS JOURNAL 8.2(2016).

入库方式： OAI收割

来源：光电技术研究所

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