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Imaging and Applied Optics 2019 (COSI, IS, MATH, pcAOP)最新文献

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Adaptive Compressive Sensing with Multiscale Hadamard Patterns 基于多尺度Hadamard模式的自适应压缩感知
Pub Date : 2019-06-24 DOI: 10.1364/COSI.2019.JW2A.21
V. Kravets, A. Stern
We introduce an efficient adaptive compressive sensing technique that utilizes the zero-trees concept. The method uses multiscale ordered Hadamard sampling and its relation to the Haar wavelet, therefore is particularly useful for single pixel imaging.
我们引入了一种有效的自适应压缩感知技术,该技术利用了零树的概念。该方法采用多尺度有序Hadamard采样及其与Haar小波的关系,因此对单像素成像特别有用。
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引用次数: 0
Resolution Enhancement of imaging systems using a phase-only SLM 使用纯相位SLM提高成像系统的分辨率
Pub Date : 2019-06-24 DOI: 10.1364/COSI.2019.CTH4A.5
M. Rai, A. Vijayakumar, Joseph Rosen
A superresolution technique for imaging beyond the diffraction limit is demonstrated using a phase-only spatial light modulator (SLM) inserted between the object and the entrance of an ordinary imaging system.
在物体和普通成像系统的入口之间插入一个纯相位空间光调制器(SLM),展示了一种超分辨成像技术,用于超越衍射极限。
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引用次数: 1
Superresolution Far-Field Imaging by Coded Phase Reflectors 编码相位反射器的超分辨率远场成像
Pub Date : 2019-06-24 DOI: 10.1364/ISA.2019.IM3B.5
Angika Bulbul, A. Vijayakumar, Joseph Rosen
We present a synthetic aperture imaging system with two physical sub-apertures with an area less than 0.5% of the full synthetic aperture but with a resolution same as that obtained from the complete synthetic aperture.
本文提出了一种具有两个物理子孔径的合成孔径成像系统,其面积小于全合成孔径的0.5%,但其分辨率与全合成孔径成像系统相同。
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引用次数: 0
Optical-CT with Incomplete Data for Applications to Radiation Dosimetry 数据不完整的光学ct在辐射剂量测定中的应用
Pub Date : 2019-06-24 DOI: 10.1364/COSI.2019.CTH1A.3
M. Faulkner, L. Florescu
Numerical experiments were performed to analyse the effect of data loss at the edges of the sample on the accuracy of optical-CT reconstruction, in the context of applications to radiation dosimetry.
数值实验分析了样品边缘数据丢失对光学ct重建精度的影响,并应用于辐射剂量学。
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引用次数: 0
Digital holographic imaging via deep learning 通过深度学习的数字全息成像
Pub Date : 2019-06-24 DOI: 10.1364/COSI.2019.CTU3A.4
Zhenbo Ren, Tianjiao Zeng, E. Lam
We propose an end-to-end deep learning method for holographic reconstruction. Through this data-driven approach, it is possible to reconstruct a noise-free image that does not require any prior knowledge.
我们提出了一种端到端的深度学习全息重建方法。通过这种数据驱动的方法,可以重建不需要任何先验知识的无噪声图像。
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引用次数: 6
Snapshot Compressive Spectral Light Field Tensor Imaging 快照压缩光谱光场张量成像
Pub Date : 2019-06-24 DOI: 10.1364/COSI.2019.CTU2A.6
M. Márquez, Hoover F. Rueda, E. Vera, H. Arguello
This work proposes a novel compressive spectral light field imaging architecture along with a tensor-based reconstruction algorithm to estimate the four-dimensional image source from a set of compressed measurements.
本文提出了一种新的压缩光谱光场成像体系结构以及基于张量的重建算法,用于从一组压缩测量中估计四维图像源。
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引用次数: 0
1D to 2D modulation for ultra fast focusing through complex media 通过复杂介质进行超快速聚焦的一维到二维调制
Pub Date : 2019-06-24 DOI: 10.1364/COSI.2019.JTH3D.1
O. Tzang, S. Labouesse, Sakshi Singh, E. Niv, G. Myatt, R. Piestun
We achieve full focusing through complex media in 2.4ms using a 1D phase modulator. We study the behavior of enhancement and focus shape, especially with regard to memory effect for a 1d modulation.
我们使用1D相位调制器在2.4ms内通过复杂介质实现全聚焦。我们研究了增强和聚焦形状的行为,特别是关于一维调制的记忆效应。
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引用次数: 1
Polarizer-free polarization contrast compressive imaging 无偏振片偏振对比压缩成像
Pub Date : 2019-06-24 DOI: 10.1364/COSI.2019.JW4B.2
J. Fade, Estéban Perrotin, J. Bobin
We extend the single-pixel camera concept to enable polarization contrast compressive imaging without polarizer, from simultaneous detection of light reflected by a Digital Micromirror Device on two photodetectors, and using optimized bivariate signal reconstruction algorithms.
我们扩展了单像素相机的概念,通过同时检测两个光电探测器上的数字微镜设备反射的光,并使用优化的二元信号重建算法,使偏振对比压缩成像成为可能。
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引用次数: 0
Calculation of high numerical aperture lightfield microscope point spread functions 大数值孔径光场显微镜点扩展函数的计算
Pub Date : 2019-06-24 DOI: 10.1364/COSI.2019.CW4A.2
Peter Quicke, Carmel L. Howe, P. Song, H. V. Jadan, P. Dragotti, T. Knöpfel, Amanda J. Foust, S. Schultz, M. Neil
3D deconvolution of lightfield images enables high resolution reconstruction of sample volumes. Previous point spread function calculations assume low to moderate NA objectives. Here we present a simple vectorial calculation valid for high NA objectives.
光场图像的三维反褶积实现了样品体积的高分辨率重建。以前的点扩散函数计算假设低到中等NA目标。在这里,我们提出了一个简单的矢量计算,适用于高NA目标。
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引用次数: 7
Deep learning approach to scalable imaging through scattering media 基于散射介质的可扩展成像的深度学习方法
Pub Date : 2019-06-24 DOI: 10.1364/COSI.2019.CTU3A.3
Yunzhe Li, Yujia Xue, L. Tian
We propose a deep learning technique to exploit “deep speckle correlations”. Our work paves the way to a highly scalable deep learning approach for imaging through scattering media.
我们提出了一种深度学习技术来利用“深度散斑相关性”。我们的工作为通过散射介质进行成像的高度可扩展的深度学习方法铺平了道路。
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引用次数: 4
期刊
Imaging and Applied Optics 2019 (COSI, IS, MATH, pcAOP)
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