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CIOMP OpenIR

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Inversion Restoring Algorithm for Whiskbroom Scanning Images Synthesized with Deep Convolutional Neural Network 期刊论文
Guangxue Xuebao/Acta Optica Sinica, 2019, 卷号: 39, 期号: 12
作者:  C.Xu;  G.Jin;  X.Yang;  T.Xu;  L.Chang
浏览  |  Adobe PDF(12998Kb)  |  收藏  |  浏览/下载：276/64  |  提交时间：2020/08/24
Image enhancement,Cameras,Convolution,Deep neural networks,Deterioration,Distortion (waves),Geometry,Image quality,Image reconstruction,Network architecture,Neural networks,Pixels,Quality control,Remote sensing,Restoration,Scanning,Space optics  
Super-resolution imaging for infrared microscanning optical system 期刊论文
Optics Express, 2019, 卷号: 27, 期号: 5, 页码: 7719-7737
作者:  X.F.Zhang;  W.Huang;  M.F.Xu;  S.Q.Jia;  X.R.Xu;  F.B.Li;  Y.D.Zheng
浏览  |  Adobe PDF(5396Kb)  |  收藏  |  浏览/下载：207/75  |  提交时间：2020/08/24
Optical systems,Frequency domain analysis,Image denoising,Image reconstruction,Optical resolving power,Pixels,Scanning,Set theory,Textures,Thermography (imaging)  
Astronomical observation by 2-meter telescope based on liquid crystal adaptive optics with phase diversity 期刊论文
Optics Communications, 2019, 卷号: 439, 页码: 129-132
作者:  D.S.Wu;  C.L.Yang;  H.Li;  P.G.Zhang;  X.Y.Zhang;  Z.L.Cao;  Q.Q.Mu
浏览  |  Adobe PDF(821Kb)  |  收藏  |  浏览/下载：254/98  |  提交时间：2020/08/24
Phase diversity,Image restoration,Liquid crystal,Adaptive optics,reconstruction,aberrations,system,Optics  
Restoration method for blurred star images based on region filters 期刊论文
Chinese Optics, 2019, 卷号: 12, 期号: 2, 页码: 321-331
作者:  J.Wang;  X.He;  Z.-H.Wei;  Z.-Y.Mu;  Y.Lv;  J.-W.He
Adobe PDF(0Kb)  |  收藏  |  浏览/下载：390/45  |  提交时间：2020/08/24
Image reconstruction,Image enhancement,Kinematics,Restoration,Signal to noise ratio,Stars  
Scene Restoration and Semantic Classification Network Using Depth Map and Discrete Pooling Technology 期刊论文
Zidonghua Xuebao/Acta Automatica Sinica, 2019, 卷号: 45, 期号: 11, 页码: 2178-2186
作者:  J.-H.Lin;  Y.Yao;  Y.Wang
浏览  |  Adobe PDF(971Kb)  |  收藏  |  浏览/下载：244/87  |  提交时间：2020/08/24
Deep neural networks,Classification (of information),Computer vision,Convolution,Deep learning,Image reconstruction,Neural networks,Semantic Web,Semantics  
Dehazing Algorithm Based on Dark-Channel Image Centroid Offset 期刊论文
Dehazing Algorithm Based on Dark-Channel Image Centroid Offset, 2019, 卷号: 39, 期号: 5
作者:  C.Su;  G.Bi;  L.Jin;  T.Nie;  H.Liang
浏览  |  Adobe PDF(1988Kb)  |  收藏  |  浏览/下载：277/66  |  提交时间：2020/08/24
Image enhancement,Clustering algorithms,Demulsification,Image processing,Image reconstruction,Restoration  
Fabrication of Dynamic Holograms on Polymer Surface by Direct Laser Writing for High-Security Anti-Counterfeit Applications 期刊论文
Ieee Access, 2019, 卷号: 7, 页码: 142926-142933
作者:  J.H.Miao;  X.H.Ding;  S.J.Zhou;  C.Q.Gui
浏览  |  Adobe PDF(1410Kb)  |  收藏  |  浏览/下载：320/52  |  提交时间：2020/08/24
Diffraction,Image reconstruction,Lasers,Microstructure,Light,sources,Kinematics,Holography,Dynamic hologram,anti-counterfeit,direct laser writing,3-dimensional display,algorithm,Computer Science,Engineering,Telecommunications  
Fast snow removal algorithm based on the maximum value of the degree of polarization and angle of polarization 期刊论文
Physica Scripta, 2019, 卷号: 94, 期号: 4, 页码: 7
作者:  Y.N.Lu;  M.F.Xu;  S.Q.Jia;  W.Huang
浏览  |  Adobe PDF(932Kb)  |  收藏  |  浏览/下载：178/59  |  提交时间：2020/08/24
image enhancement,polarimetric imaging,image,reconstruction-restoration,vision,Physics  
Compressed sensing imaging system based on improved theoretical model and its weighted iterative strategy 期刊论文
Optics Communications, 2019, 卷号: 439, 页码: 76-84
作者:  Y.H.Li;  X.D.Wang;  Z.Wang
浏览  |  Adobe PDF(4134Kb)  |  收藏  |  浏览/下载：348/87  |  提交时间：2020/08/24
Computational imaging,Compressed sensing,Image restoration,reconstruction,exposure,Optics  
Performance optimization of three down-sampling imaging strategies and their comparison with the conventional Fourier telescope 期刊论文
Acta Physica Sinica, 2019, 卷号: 68, 期号: 7, 页码: 9
作者:  L.Dong;  Z.W.Lu;  X.Y.Liu;  Z.W.Li
浏览  |  Adobe PDF(2303Kb)  |  收藏  |  浏览/下载：280/93  |  提交时间：2020/08/24
synthetic aperture imaging,Fourier telescope,image reconstruction,techniques,compressed sensing,national testbed glint,turbulence,mri,Physics