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Computational Imaging IV
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Volume Details

Volume Number: 10990
Date Published: 26 July 2019

Table of Contents
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Front Matter: Volume 10990
Author(s): Proceedings of SPIE
Learning speckle correlations for imaging through scattering (Conference Presentation)
Author(s): Yunzhe Li; Yujia Xue; Lei Tian
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Artificial neural networks for controlling light delivery through complex media (Conference Presentation)
Author(s): Ivan Vishniakou; Daniele Faccio; Alex Turpin
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Contrast reductions due to sun scattering and transmittance for detection of objects through a local scattering cloud
Author(s): Charles W. Bruce; Sharhabeel Alyones; Michael Granado; Al V. Jelinek
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A line-of-sight approach for non-line-of-sight imaging (Conference Presentation)
Author(s): Marco La Manna; Xioachun Liu; Ji-Hyun Nam; Martin Laurenzis; Andreas Velten
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Deep learning in computational microscopy
Author(s): Thanh Nguyen; George Nehmetallah; Lei Tian
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Optimization of small target sensing in lensfree microscopes (Conference Presentation)
Author(s): Zhen Xiong; Jeffrey E. Melzer; Jacob Garan; Euan McLeod
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Quantitative phase imaging camera with a weak diffuser based on the transport of intensity equation
Author(s): Linpeng Lu; Jiasong Sun; Jialin Zhang; Yao Fan; Qian Chen; Chao Zuo
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Theoretical analysis of diffraction imaging in Fourier ptychography microscopy
Author(s): Shaohui Zhang; Yao Hu; Ying Wang; Xuemin Cheng; Qun Hao
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Microscopic image enhancement based on Fourier ptychography technique
Author(s): Ying Wang; Guocheng Zhou; Yao Hu; Xuemin Cheng; Qun Hao; Shaohui Zhang
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Fully-flexible glass-air disordered fiber imaging through deep learning (Conference Presentation)
Author(s): Sean Pang; Yangyang Sun; Jian Zhao; Axel Schülzgen
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Illumination pattern design with deep learning for single-shot Fourier ptychographic microscopy (Conference Presentation)
Author(s): Vidya Ganapati
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Design and evaluation of task-specific compressive optical systems
Author(s): Brian J. Redman; Gabriel C. Birch; Charles F. LaCasse; Amber L. Dagel; Tu-Thach Quach; Meghan Galiardi
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Fixed point simulation of compressed sensing and reconstruction
Author(s): Pravir Singh Gupta; Gwan Seong Choi
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Generating synthetic imagery of complex scenes from ideal synthetic source imagery via MSERs on entropy imagery
Author(s): Preston C. Darling; Stanton R. Price
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PlumeNET: a convolutional neural network for plume classification in thermal imagery
Author(s): Christian W. Smith; Julia R. Dupuis; William J. Marinelli
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Tailored glass optics using 3D printing (Conference Presentation)
Author(s): Rebecca Dylla-Spears; Nikola Dudukovic; Koroush Sasan; Oscar D. Herrera; Michael A. Johnson; Timothy D. Yee; Du T. Nguyen; Lana Wong
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Multispectral compressive sensing using a silicon-based PEC cell
Author(s): Ji-Hoon Kang; Minjeong Kim; Jongtae Ahn; Do Kyung Hwang; Jinwoo Park; Byeong-Kwon Ju; Myungha Kim; Min-Chul Park
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Tracking from a moving platform with the Dynamic Vision Sensor
Author(s): Joseph Cox; Nicholas Morley
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Imaging reconstruction with engineered point spread functions (Conference Presentation)
Author(s): Grover A. Swartzlander Jr.; Jacob H. Wirth; Abbie T. Watnik; Kyle M. Novak
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A comparative investigation on the use of compressive sensing methods in computational ghost imaging
Author(s): Chen Zhang; Bincheng Zhu; Sebastian Semper; Andreas Breitbarth; Maik Rosenberger; Gunther Notni
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Finite element modeling of pulse phase thermography of an approximate model of low velocity impact induced damage in carbon fiber reinforced polymer structures
Author(s): Saul Hernandez Valle; Kara Peters
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X-ray phase imaging and retrieval using structured illumination (Conference Presentation)
Author(s): Kaye Morgan
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Propagation-based and mesh-based x-ray quantitative phase imaging with conventional sources
Author(s): Weiyuan Sun; Carolyn A. MacDonald; Jonathan C. Petruccelli
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Hierarchical convolutional network for sparse-view X-ray CT reconstruction
Author(s): Ziling Wu; Ting Yang; Ling Li; Yunhui Zhu
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Deep neural networks for sparse-view filtered backprojection imaging
Author(s): Cain Gantt; Yuanwei Jin; Enyue Lu
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Spatial image filtering using spline approximation in the case of impulse noise
Author(s): D. Bezuglov; V. Voronin; S. Mishchenko
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