Prof. Adrian Stern Profile

Prof. Adrian Stern

Professor at Ben-Gurion Univ of the Negev

SPIE Involvement:

Conference Program Committee | Author | Editor

Websites:

Company Website

Publications (70)

Proceedings Article | 10 June 2024 Presentation + Paper

A comparison of deep learning-based compressive imaging methods from a practitioner's perspective

Adrian Stern, Shadi Kandalaft, Oren Bargan Lowte, Vladislav Kravtes

Proceedings Volume 13036, 1303603 (2024) https://doi.org/10.1117/12.3013472

KEYWORDS: Signal to noise ratio, Compressive imaging, Deep learning, Quantization, Image processing, Simulations

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Proceedings Article | 10 June 2024 Presentation

Event-based stereo systems

Adrian Stern, Raviv Ilani

Proceedings Volume PC13041, PC1304103 (2024) https://doi.org/10.1117/12.3011582

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Proceedings Article | 4 October 2023 Presentation + Paper

Comparison of deep learning-based compressive imaging from a practitioner's viewpoint

Guy Hanzon, Or Nizhar, Vladislav Kravets, Adrian Stern

Proceedings Volume 12675, 126750I (2023) https://doi.org/10.1117/12.2678022

KEYWORDS: Quantization, Image restoration, Reconstruction algorithms, Image processing, Compressive imaging, Sensors

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SPIE Journal Paper | 9 September 2023 Open Access

Compressive hyperspectral microscopy for cancer detection

Yaniv Oiknine, Marwan Abuleil, Eugene Brozgol, Isaac August, Iris Barshack, Ibrahim Abdulhalim, Yuval Garini, Adrian Stern

JBO, Vol. 28, Issue 09, 096502, (September 2023) https://doi.org/10.1117/12.10.1117/1.JBO.28.9.096502

KEYWORDS: Microscopes, Microscopy, Light sources and illumination, Cancer detection, Imaging spectroscopy, Imaging systems, Biopsy, Optical filters, Tunable filters, Medical image reconstruction

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SignificanceHyperspectral microscopy grants the ability to characterize unique properties of tissues based on their spectral fingerprint. The ability to label and measure multiple molecular probes simultaneously provides pathologists and oncologists with a powerful tool to enhance accurate diagnostic and prognostic decisions. As the pathological workload grows, having an objective tool that provides companion diagnostics is of immense importance. Therefore, fast whole-slide spectral imaging systems are of immense importance for automated cancer prognostics that meet current and future needs.AimWe aim to develop a fast and accurate hyperspectral microscopy system that can be easily integrated with existing microscopes and provide flexibility for optimizing measurement time versus spectral resolution.ApproachThe method employs compressive sensing (CS) and a spectrally encoded illumination device integrated into the illumination path of a standard microscope. The spectral encoding is obtained using a compact liquid crystal cell that is operated in a fast mode. It provides time-efficient measurements of the spectral information, is modular and versatile, and can also be used for other applications that require rapid acquisition of hyperspectral images.ResultsWe demonstrated the acquisition of breast cancer biopsies hyperspectral data of the whole camera area within ∼1 s. This means that a typical 1 × 1 cm2 biopsy can be measured in ∼10 min. The hyperspectral images with 250 spectral bands are reconstructed from 47 spectrally encoded images in the spectral range of 450 to 700 nm.ConclusionsCS hyperspectral microscopy was successfully demonstrated on a common lab microscope for measuring biopsies stained with the most common stains, such as hematoxylin and eosin. The high spectral resolution demonstrated here in a rather short time indicates the ability to use it further for coping with the highly demanding needs of pathological diagnostics, both for cancer diagnostics and prognostics.

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SPIE Journal Paper | 3 June 2021

Deep neural network classification in the compressively sensed spectral image domain

Nadav Cohen, Shauli Shmilovich, Yaniv Oiknine, Adrian Stern

JEI, Vol. 30, Issue 04, 041406, (June 2021) https://doi.org/10.1117/12.10.1117/1.JEI.30.4.041406

KEYWORDS: Image compression, Image classification, Neural networks, Data acquisition, Resonators, Mirrors, Curium, Compressed sensing, Imaging systems, Databases

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Proceedings Article | 20 August 2020 Presentation

Deep learning for compressive hyperspectral sensing

Adrian Stern, Noam Katz, Nadav Cohen, Shauli Shmilovich, Daniel Gedalin, Yaniv Oiknine

Proceedings Volume 11504, 115040E (2020) https://doi.org/10.1117/12.2568596

KEYWORDS: Hyperspectral sensing, Imaging systems, Compressed sensing, Hyperspectral imaging, Data acquisition, Signal to noise ratio, Image restoration, Target detection

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Proceedings Article | 24 April 2020 Presentation + Paper

Do we miss targets when we capture hyperspectral images with compressive sensing?

Noam Katz, Nadav Cohen, Shauli Shmilovich, Yaniv Oiknine, Adrian Stern

Proceedings Volume 11394, 113940T (2020) https://doi.org/10.1117/12.2562432

KEYWORDS: Data acquisition, Neural networks, Hyperspectral imaging, Compressed sensing, Imaging systems, Image classification, Detection and tracking algorithms, Target detection

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Proceedings Article | 23 April 2020 Presentation

Single image super-resolution by learning versus by compressive sensing (Conference Presentation)

Adrian Stern

Proceedings Volume 11395, 1139508 (2020) https://doi.org/10.1117/12.2562319

KEYWORDS: Super resolution, Compressed sensing, Image resolution, Lawrencium, Image compression

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Proceedings Article | 22 April 2020 Open Access

Progressive compressive LIDAR sensing (Conference Presentation)

Adrian Stern, Vladislav Kravets

Proceedings Volume 11402, 114020G (2020) https://doi.org/10.1117/12.2563317

KEYWORDS: LIDAR, 3D image reconstruction, Image resolution, Image processing, 3D image processing, Image compression, 3D acquisition, Neural networks

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Proceedings Article | 19 September 2019 Paper

On the robustness of compressive sensing hyperspectral image reconstruction using convolutional neural network

Daniel Gedalin, Yaron Heiser, Yaniv Oiknine, Adrian Stern

Proceedings Volume 11169, 111690L (2019) https://doi.org/10.1117/12.2533113

KEYWORDS: Compressed sensing, Hyperspectral imaging, Reconstruction algorithms, Target detection, Convolutional neural networks, Neural networks

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Proceedings Article | 12 June 2019 Open Access

Compressive sensing with variable density sampling for 3D imaging

Adrian Stern, Vladislav Kravets, Yair Rivenson, Bahram Javidi

Proceedings Volume 10997, 1099702 (2019) https://doi.org/10.1117/12.2521738

KEYWORDS: Holography, LIDAR, Stereoscopy, 3D image processing, Compressed sensing, 3D acquisition, Digital micromirror devices, Wavelets, Clouds, 3D surface sensing

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Proceedings Article | 13 May 2019 Presentation + Paper

Compressive hyperspectral image reconstruction with deep neural networks

Yaron Heiser, Yaniv Oiknine, Adrian Stern

Proceedings Volume 10989, 109890M (2019) https://doi.org/10.1117/12.2522122

KEYWORDS: Reconstruction algorithms, Neural networks, Signal processing, Compressed sensing, Image restoration, Image compression, Hyperspectral imaging, Image processing, Imaging systems, Imaging spectroscopy

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Proceedings Article | 16 May 2018 Presentation + Paper

3D reconstructions from spectral light fields

Vladimir Farber, Yaniv Oiknine, Isaac August, Adrian Stern

Proceedings Volume 10666, 106660W (2018) https://doi.org/10.1117/12.2306139

KEYWORDS: Imaging systems, Integral imaging, Hyperspectral imaging

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Proceedings Article | 14 May 2018 Presentation + Paper

Video compressive sensing using Russian dolls ordering of Hadamard basis for multi-scale sampling of a scene in motion using a single pixel camera

Vladislav Kravets, Adrian Stern

Proceedings Volume 10669, 106690K (2018) https://doi.org/10.1117/12.2304594

KEYWORDS: Video, Cameras, Video compression, Compressed sensing, Optical flow, Motion estimation, Imaging systems, Sensors, Distortion, Micromirrors

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SPIE Journal Paper | 5 March 2018

Spectral light fields for improved three-dimensional profilometry

Vladimir Farber, Yaniv Oiknine, Isaac August, Adrian Stern

OE, Vol. 57, Issue 06, 061609, (March 2018) https://doi.org/10.1117/12.10.1117/1.OE.57.6.061609

KEYWORDS: Cameras, Imaging systems, Integral imaging, Reconstruction algorithms, Two photon polymerization, Optical engineering, Imaging arrays, Hyperspectral imaging, 3D image processing, Light

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Proceedings Article | 4 October 2017 Paper

Target detection with compressive sensing hyperspectral images

Yaniv Oiknine, Daniel Gedalin, Isaac August, Dan Blumberg, Stanley Rotman, Adrian Stern

Proceedings Volume 10427, 104270O (2017) https://doi.org/10.1117/12.2277186

KEYWORDS: Target detection, Detection and tracking algorithms, Compressed sensing, Liquid crystals, Imaging systems, Signal detection, Hyperspectral imaging, Multiplexing, Compressive imaging, Spectral imaging cameras, Hyperspectral target detection

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Proceedings Article | 6 September 2017 Presentation + Paper

Method and algorithm for efficient calibration of compressive hyperspectral imaging system based on a liquid crystal retarder

Liat Shecter, Yaniv Oiknine, Isaac August, Adrian Stern

Proceedings Volume 10410, 104100C (2017) https://doi.org/10.1117/12.2278186

KEYWORDS: Liquid crystals, Calibration, Sensors, Modulators, Hyperspectral imaging, Imaging systems, Wave plates, Compressed sensing, Sensor calibration, Reconstruction algorithms

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Proceedings Article | 16 May 2017 Paper

Compressive spectroscopy by spectral modulation

Yaniv Oiknine, Isaac August, Adrian Stern

Proceedings Volume 10231, 102310K (2017) https://doi.org/10.1117/12.2261403

KEYWORDS: Modulation, Liquid crystals, Spectroscopy, Compressed sensing, Fabry–Perot interferometers, Resonators, Wave plates, Hyperspectral imaging, Image compression, Imaging systems, Mirrors, Light emitting diodes, Green light emitting diodes, Multiplexing, Compressive imaging, Hyperspectral sensing, Optical multiplexing

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SPIE Journal Paper | 9 January 2017

Performance of target detection algorithm in compressive sensing miniature ultraspectral imaging compressed sensing system

Daniel Gedalin, Yaniv Oiknine, Isaac August, Dan Blumberg, Stanley Rotman, Adrian Stern

OE, Vol. 56, Issue 04, 041312, (January 2017) https://doi.org/10.1117/12.10.1117/1.OE.56.4.041312

KEYWORDS: Detection and tracking algorithms, Target detection, Compressed sensing, Multiplexing, Imaging systems, Sensing systems, Reconstruction algorithms, Miniature imaging systems, Liquid crystals, Computing systems

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Proceedings Article | 2 November 2016 Presentation

Stokes polarimetry, narrowband filtering, and hyperspectral imaging using a small number of liquid crystal devices (Conference Presentation)

Marwan Abuleil, Isaac August, Yaniv Oiknine, Adrian Stern, Ibrahim Abdulhalim

Proceedings Volume 9940, 99400S (2016) https://doi.org/10.1117/12.2237295

KEYWORDS: Liquid crystals, Tunable filters, Imaging systems, Polarimetry, Hyperspectral imaging, LCDs, Polarization, Wave plates, Tissue optics, Image filtering

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SPIE Journal Paper | 11 July 2016

Fast and exact method for computing a stack of images at various focuses from a four-dimensional light field

Eran Small, Ziv Mhabary, Ofer Levi, Adrian Stern

JEI, Vol. 25, Issue 04, 043002, (July 2016) https://doi.org/10.1117/12.10.1117/1.JEI.25.4.043002

KEYWORDS: Fourier transforms, Cameras, Sensors, Reconstruction algorithms, Computational imaging, Fractional fourier transform, Optical design, Spatial resolution, Beryllium, Digital imaging

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Proceedings Article | 1 June 2016 Paper

An exact and efficient 3D reconstruction method from captured light-fields using the fractional Fourier transform

Ziv Mhabary, Ofer Levi, Eran Small, Adrian Stern

Proceedings Volume 9867, 986708 (2016) https://doi.org/10.1117/12.2228986

KEYWORDS: Fractional fourier transform, 3D modeling, Fourier transforms, 3D displays, Cameras, Photography, Information visualization, Visualization, Data processing, Geometrical optics

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Proceedings Article | 20 May 2016 Paper

Hurdles in the implementation of compressive sensing for imaging and ways to overcome them

Adrian Stern, Isaac August, Yaniv Oiknine

Proceedings Volume 9870, 987006 (2016) https://doi.org/10.1117/12.2224702

KEYWORDS: Compressive imaging, Compressed sensing, Imaging systems, Holography, Optical imaging, Imaging spectroscopy, Image compression, Radon, Sensors, Liquid crystals

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Proceedings Article | 4 May 2016 Paper

Comparison between various patch wise strategies for reconstruction of ultra-spectral cubes captured with a compressive sensing system

Yaniv Oiknine, Isaac August, Liat Revah, Adrian Stern

Proceedings Volume 9857, 985705 (2016) https://doi.org/10.1117/12.2223647

KEYWORDS: Compressed sensing, Sensing systems, Data processing, Liquid crystals, Sensors, Wavelets, Miniature imaging systems, Imaging systems, Reconstruction algorithms, Wave plates

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Proceedings Article | 8 June 2015 Paper

Feasibility of Radon projection acquisition for compressive imaging in MMW region based new video rate 16x16 GDD FPA camera

Assaf Levanon, Michael Konstantinovsky, Natan Kopeika, Yitzhak Yitzhaky, A. Stern, Svetlana Turak, Amir Abramovich

Proceedings Volume 9462, 94620K (2015) https://doi.org/10.1117/12.2180367

KEYWORDS: Extremely high frequency, Radon, Sensors, Staring arrays, Mirrors, Cameras, Millimeter wave imaging, Lamps, Imaging systems, Video

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Proceedings Article | 22 May 2015 Paper

Using perceivable light fields to evaluate the amount of information that autostereoscopic displays need to cast

Adrian Stern, Bahram Javidi

Proceedings Volume 9495, 94950J (2015) https://doi.org/10.1117/12.2180514

KEYWORDS: 3D displays, Eye, Visualization, Chemical species, Autostereoscopic displays, Visual analytics, 3D image processing, Visual system, Information visualization, Spatial light modulators

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Proceedings Article | 22 May 2015 Paper

Spectral analysis of views interpolated by chroma subpixel downsampling for 3D autosteroscopic displays

Avishai Marson, Adrian Stern

Proceedings Volume 9495, 94950R (2015) https://doi.org/10.1117/12.2180515

KEYWORDS: LCDs, 3D displays, 3D image processing, Image resolution, Autostereoscopic displays, Eye, Multiplexing, Optical resolution, Colorimetry, Phase shifts

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Proceedings Article | 14 May 2015 Paper

Compressive and classical hyperspectral systems: a fundamental comparison

Adi Shay, Isaac August, Adrian Stern

Proceedings Volume 9484, 948408 (2015) https://doi.org/10.1117/12.2177587

KEYWORDS: Imaging systems, Hyperspectral imaging, Image compression, Remote sensing, Compressed sensing, Imaging spectroscopy, Spectroscopy, Optical filters, Optical components, Hyperspectral systems

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Proceedings Article | 23 September 2014 Paper

Reconstruction algorithms for compressive hyperspectral imaging systems with separable spatial and spectral operators

Yaniv Oiknine, Yitzhak August, Adrian Stern

Proceedings Volume 9217, 921703 (2014) https://doi.org/10.1117/12.2064640

KEYWORDS: Reconstruction algorithms, Imaging systems, Hyperspectral imaging, Compressed sensing, Sensing systems, Multiplexing, MATLAB, Computer programming, Optimization (mathematics), Computer simulations

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Proceedings Article | 5 June 2014 Paper

Fluctuations in the intensity read out of CCD/CMOS arrays in digital holographic setups: an experimental investigation

Yang Wu, Damien Kelly, Adrian Stern, Stefan Sinzinger

Proceedings Volume 9117, 911708 (2014) https://doi.org/10.1117/12.2051206

KEYWORDS: Cameras, Speckle, Digital holography, Holography, Holograms, Charge-coupled devices, CCD cameras, Optical benches, Sensors, Light sources

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Proceedings Article | 5 June 2014 Paper

Digital speckle reduction in holograms: a comparison between methods

Adrian Stern, Vladimir Farber, Amitai Uzan, Yair Rivenson

Proceedings Volume 9117, 91170C (2014) https://doi.org/10.1117/12.2049829

KEYWORDS: Image filtering, Digital filtering, Speckle, Digital holography, Holograms, Optical filters, Linear filtering, Denoising, Wavelets, Nonlinear filtering

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Proceedings Article | 23 May 2014 Paper

Digital speckle reduction in holograms: a comparison between methods

Adrian Stern, Vladimir Farber, Amitai Uzan, Yair Rivenson

Proceedings Volume 9109, 91090E (2014) https://doi.org/10.1117/12.2049826

KEYWORDS: Image filtering, Digital filtering, Speckle, Digital holography, Holograms, Optical filters, Wavelets, Linear filtering, Denoising, Nonlinear filtering

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Proceedings Article | 22 October 2013 Paper

Multi-dimensional compressive imaging

B. Javidi, A. Mahalanobis, X. Xiao, Y. Rivenson, R. Horisaki, A. Stern, P. Latorre-Carmona, M. Martínez-Corral, F. Pla, J. Tanida

Proceedings Volume 8899, 889904 (2013) https://doi.org/10.1117/12.2034426

KEYWORDS: Integral imaging, Cameras, Imaging systems, 3D image processing, 3D acquisition, Compressed sensing, Sensors, Digital holography, Optical filters, Stereoscopy

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Proceedings Article | 30 September 2013 Paper

Optical compressive sensing: a new field benefiting from classical optical signal processing techniques

Adrian Stern

Proceedings Volume 8833, 88330B (2013) https://doi.org/10.1117/12.2024422

KEYWORDS: Matrices, Compressed sensing, Optical signal processing, Imaging systems, Convolution, Compressive imaging, Computer programming, Sensors, Radon, Super resolution

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Proceedings Article | 26 September 2013 Paper

Theory of compressive sensing with quadratic phase systems and examples in optics

Yair Rivenson, Adrian Stern

Proceedings Volume 8858, 885814 (2013) https://doi.org/10.1117/12.2024449

KEYWORDS: Electronic filtering, Compressed sensing, Holography, Sensing systems, Convolution, Particles, Signal processing, Optical filters, Fourier transforms, Sensors

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Proceedings Article | 31 May 2013 Paper

Compressive moving objects localization techniques based on optical Radon projections

Adrian Stern, Yuval Kashter, Ofer Levi

Proceedings Volume 8717, 871704 (2013) https://doi.org/10.1117/12.2018000

KEYWORDS: Radon, Sensors, Motion detection, Imaging systems, Image compression, Compressive imaging, Compressed sensing, Optical design, Video, Cylindrical lenses

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Proceedings Article | 31 May 2013 Paper

Spatial versus spectral compression ratio in compressive sensing of hyperspectral imaging

Yitzhak August, Chaim Vachman, Adrian Stern

Proceedings Volume 8717, 87170G (2013) https://doi.org/10.1117/12.2017949

KEYWORDS: Hyperspectral imaging, Image compression, Cameras, Compressed sensing, Principal component analysis, Imaging systems, Image quality, Matrices, Multiplexing, Signal processing

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Proceedings Article | 29 May 2013 Paper

A study of the coherence parameter of the progressive compressive imager based on radon transform

Vladimir Farber, Elman Eduard, Yair Rivenson, Adrian Stern

Proceedings Volume 8750, 87500L (2013) https://doi.org/10.1117/12.2018005

KEYWORDS: Radon, Sensors, Imaging systems, Image sensors, Image compression, Matrices, Coherence (optics), Radon transform, Compressed sensing, Compressive imaging

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Proceedings Article | 17 May 2013 Paper

Compressive sensing for improved depth discrimination in 3D holographic reconstruction

Yair Rivenson, Adrian Stern, Bahram Javidi

Proceedings Volume 8738, 87380P (2013) https://doi.org/10.1117/12.2018497

KEYWORDS: Holography, Digital holography, Holograms, Compressed sensing, Charge-coupled devices, 3D modeling, 3D acquisition, 3D image reconstruction, Tomography, Signal to noise ratio

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Proceedings Article | 8 June 2012 Paper

Progressive compressive imager

Sergei Evladov, Ofer Levi, Adrian Stern

Proceedings Volume 8365, 83650I (2012) https://doi.org/10.1117/12.920394

KEYWORDS: Reconstruction algorithms, Radon, Imaging systems, Image processing, Sensors, Compressive imaging, Image compression, Algorithm development, Signal processing, Radon transform

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Proceedings Article | 15 May 2012 Paper

An overview of 3D visualization with integral imaging in photon starved conditions

Adrian Stern, Doron Aloni, Bahram Javidi

Proceedings Volume 8384, 83840K (2012) https://doi.org/10.1117/12.920398

KEYWORDS: Photon counting, 3D image processing, Expectation maximization algorithms, Integral imaging, Sensors, Visualization, 3D image reconstruction, Image sensors, 3D acquisition, 3D modeling

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Proceedings Article | 7 May 2012 Paper

Infrared image denoising by nonlocal means filtering

Barak Dee-Noor, Adrian Stern, Yitzhak Yitzhaky, Natan Kopeika

Proceedings Volume 8399, 83990K (2012) https://doi.org/10.1117/12.919979

KEYWORDS: Infrared imaging, Optical filters, Denoising, Image filtering, Image denoising, Image processing, Infrared radiation, Gaussian filters, Thermography, Wavelets

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Proceedings Article | 20 May 2011 Paper

Efficient reconstruction of 3D images from photon starved integral imaging using PMLEM

Doron Aloni, Adrian Stern, Bahram Javidi

Proceedings Volume 8043, 80430I (2011) https://doi.org/10.1117/12.883370

KEYWORDS: 3D image processing, Photon counting, 3D image reconstruction, Expectation maximization algorithms, Integral imaging, Statistical analysis, 3D acquisition, 3D displays, Visualization, Image processing

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Proceedings Article | 15 April 2008 Paper

3D optical microscopy using digital holography

A. Stern, Bahram Javidi

Proceedings Volume 6983, 69830O (2008) https://doi.org/10.1117/12.786891

KEYWORDS: Digital holography, Holography, Sensors, Microscopy, Holograms, Optical microscopy, 3D displays, Digital recording, Charge-coupled devices, Objectives

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Proceedings Article | 24 March 2008 Open Access

Optically compressed image sensing using random aperture coding

A. Stern, Yair Rivenson, Bahram Javidi

Proceedings Volume 6975, 69750D (2008) https://doi.org/10.1117/12.783528

KEYWORDS: Image compression, Imaging systems, Digital imaging, Compressed sensing, Reconstruction algorithms, Compressive imaging, Wavelets, Visualization, Optical sensing, Image quality

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SPIE Journal Paper | 1 January 2008

Visual perception of vibration-distorted thermal images

Adrian Stern, Etan Fisher

JEI, Vol. 17, Issue 01, 013001, (January 2008) https://doi.org/10.1117/12.10.1117/1.2892676

KEYWORDS: Thermography, Target recognition, Visualization, Object recognition, Computer simulations, Cameras, Amplifiers, Image registration, Modulation transfer functions, Point spread functions

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Proceedings Article | 26 September 2007 Paper

Single-shot compressive imaging

Adrian Stern, Yair Rivenson, Bahram Javidi

Proceedings Volume 6778, 67780J (2007) https://doi.org/10.1117/12.755139

KEYWORDS: Image compression, Imaging systems, Reconstruction algorithms, Wavelets, Digital imaging, Image quality, Visualization, Compressive imaging, Compressed sensing, Cameras

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Proceedings Article | 30 August 2006 Paper

Integral image compression methods

Adrian Stern, Bahram Javidi

Proceedings Volume 6311, 631104 (2006) https://doi.org/10.1117/12.680461

KEYWORDS: Image compression, 3D image processing, Image quality, Standards development, Algorithm development, Discrete wavelet transforms, Image sensors, Geometrical optics, Video, Image quality standards

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Proceedings Article | 15 September 2005 Paper

Multi-dimensional imaging with lenslet arrays

Adrian Stern, Bahram Javidi

Proceedings Volume 5908, 59080E (2005) https://doi.org/10.1117/12.629380

KEYWORDS: 3D image processing, Imaging arrays, Imaging systems, Integral imaging, Image resolution, 3D image reconstruction, Visualization, 3D displays, Multiplexing, Sensors

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Proceedings Article | 22 October 2004 Paper

General sampling theorem and application in digital holography

Adrian Stern, Bahram Javidi

Proceedings Volume 5557, (2004) https://doi.org/10.1117/12.568620

KEYWORDS: Digital holography, Holograms, Digital recording, Sensors, Signal processing, Charge-coupled devices, Digital signal processing, Solids, Fourier transforms, Electro-optical engineering

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SPIE Journal Paper | 1 January 2004

Analysis of practical sampling and reconstruction from Fresnel fields

Adrian Stern, Bahram Javidi

OE, Vol. 43, Issue 01, (January 2004) https://doi.org/10.1117/12.10.1117/1.1630316

KEYWORDS: Sensors, Signal to noise ratio, Fourier transforms, Convolution, Optical filtering, Optical engineering, Spatial frequencies, Modulation transfer functions, Neodymium, Digital holography

SPIE Journal Paper | 1 December 2003

Restoration of interlaced images degraded by variable velocity motion

Yitzhak Yitzhaky, Adrian Stern

OE, Vol. 42, Issue 12, (December 2003) https://doi.org/10.1117/12.10.1117/1.1621406

KEYWORDS: Point spread functions, Cameras, Motion estimation, Image restoration, Imaging systems, Distortion, Optical transfer functions, Linear filtering, Optical engineering, Modulation transfer functions

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Proceedings Article | 26 November 2003 Paper

3D image sensing and reconstruction with time-division multiplexed computational integral imaging (CII)

Adrian Stern, Bahram Javidi

Proceedings Volume 5243, (2003) https://doi.org/10.1117/12.515737

KEYWORDS: 3D image reconstruction, 3D image processing, Image resolution, Point spread functions, Integral imaging, Time division multiplexing, Super resolution, Reconstruction algorithms, Image processing, Sensors

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Proceedings Article | 19 November 2003 Paper

Restoration of images captured by a staggered TDI camera in the presence of mechanical vibrations

Gadi Hochman, Yitzhak Yitzhaky, Norman Kopeika, Yair Lauber, Meira Citroen, Adrian Stern

Proceedings Volume 5203, (2003) https://doi.org/10.1117/12.506715

KEYWORDS: Cameras, Sensors, Point spread functions, Motion estimation, Imaging systems, Image processing, Thermography, Error analysis, Image restoration, Chlorine

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SPIE Journal Paper | 1 November 2003

Image restoration from camera vibration and object motion blur in infrared staggered time-delay and integration systems

Sergey Raiter, Adrian Stern, Ofer Hadar, Norman Kopeika

OE, Vol. 42, Issue 11, (November 2003) https://doi.org/10.1117/12.10.1117/1.1612513

KEYWORDS: Cameras, Image restoration, Motion detection, Detection and tracking algorithms, Image quality, Thermography, Imaging systems, Optical engineering, Zoom lenses, Distortion

Proceedings Article | 7 December 2001 Paper

Stabilization, restoration, and resolution enhancement of a video sequence captured by a moving and vibrating platform

Adrian Stern, Norman Kopeika

Proceedings Volume 4472, (2001) https://doi.org/10.1117/12.449741

KEYWORDS: Video, Resolution enhancement technologies, Digital image processing, Lithium, Cameras, Distortion, Spatial resolution, Image resolution

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SPIE Journal Paper | 1 October 2001

Modulation transfer function as a quality measure for compressed images transmitted over a lossy packet network

Ofer Hadar, Adrian Stern, Merav Huber, Revital Huber

OE, Vol. 40, Issue 10, (October 2001) https://doi.org/10.1117/12.10.1117/1.1397766

KEYWORDS: Image compression, Modulation transfer functions, Quality measurement

SPIE Journal Paper | 1 June 2001

Influence of severe vibrations on the visual perception of video sequences

Adrian Stern, E. Fisher, Stanley Rotman, Norman Kopeika

OE, Vol. 40, Issue 06, (June 2001) https://doi.org/10.1117/12.10.1117/1.1367256

KEYWORDS: Eye, Cameras, Video, Visualization, Eye models, Point spread functions, Image registration, Spatial frequencies, Target recognition, Image restoration

SPIE Journal Paper | 1 February 2001

Enhancement of an image compression algorithm by pre- and post-filtering

Ofer Hadar, Adrian Stern, Raz Koresh

OE, Vol. 40, Issue 02, (February 2001) https://doi.org/10.1117/12.10.1117/1.1339203

KEYWORDS: Image compression, Image filtering, Linear filtering, Signal to noise ratio, Image quality, Image processing, Spatial frequencies, Imaging systems, Image enhancement, Image restoration

Proceedings Article | 28 December 2000 Paper

Restoration of nonlinear motion-distorted composite frame

Yitzhak Yitzhaky, Adrian Stern, Norman Kopeika

Proceedings Volume 4115, (2000) https://doi.org/10.1117/12.411589

KEYWORDS: Composites, Point spread functions, Image restoration, Motion estimation, Image processing, Video, Optical transfer functions, Imaging systems, Solids, Linear filtering

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Proceedings Article | 15 December 2000 Paper

Influence of severe vibrations on the visual perception of video sequences

Adrian Stern, E. Fisher, Stanley Rotman, Norman Kopeika

Proceedings Volume 4130, (2000) https://doi.org/10.1117/12.409917

KEYWORDS: Cameras, Video, Eye, Visualization, Image registration, Target recognition, Eye models, Image processing, Point spread functions, Image restoration

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SPIE Journal Paper | 1 September 2000

Restoration and resolution enhancement of a single image from a vibration-distorted image sequence

Adrian Stern, Elad Kempner, Avi Shukrun, Norman Kopeika

OE, Vol. 39, Issue 09, (September 2000) https://doi.org/10.1117/12.10.1117/1.1288124

KEYWORDS: Image restoration, Point spread functions, Image enhancement, Image processing, Lawrencium, Resolution enhancement technologies, Image resolution, Super resolution, Algorithm development, Reconstruction algorithms

Proceedings Article | 16 December 1999 Paper

MTF as a quality measure for compressed images transmitted over computer networks

Ofer Hadar, Adrian Stern, Merav Huber, Revital Huber

Proceedings Volume 3814, (1999) https://doi.org/10.1117/12.372747

KEYWORDS: Modulation transfer functions, Image compression, Imaging systems, Image quality, Video, Spatial frequencies, Video compression, Sun, Quality measurement, Distortion

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Proceedings Article | 18 October 1999 Paper

Restoration and resolution enhancement of a single image from a vibration-distorted image sequence

Adrian Stern, Elad Kempner, Avi Shukrun, Norman Kopeika

Proceedings Volume 3808, (1999) https://doi.org/10.1117/12.365836

KEYWORDS: Image resolution, Image restoration, Image processing, Point spread functions, Image enhancement, Super resolution, Algorithm development, Imaging systems, Video, Resolution enhancement technologies

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Proceedings Article | 1 October 1998 Paper

Image compression improvement by prefiltering

Ofer Hadar, Adrian Stern

Proceedings Volume 3460, (1998) https://doi.org/10.1117/12.323160

KEYWORDS: Image compression, Image filtering, Linear filtering, Image processing, Signal to noise ratio, Image quality, Image restoration, Image transmission, Quantization, Spatial frequencies

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Proceedings Article | 1 October 1998 Paper

Motion-distorted composite frame restoration

Adrian Stern, Norman Kopeika

Proceedings Volume 3460, (1998) https://doi.org/10.1117/12.323221

KEYWORDS: Composites, Imaging systems, Image segmentation, Cameras, Motion estimation, Fourier transforms, Optical transfer functions, Video, Computing systems, Motion analysis

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Proceedings Article | 30 October 1997 Paper

General restoration filter for vibrated image restoration

Adrian Stern, Norman Kopeika

Proceedings Volume 3164, (1997) https://doi.org/10.1117/12.292769

KEYWORDS: Image filtering, Image restoration, Point spread functions, Optical transfer functions, Filtering (signal processing), Image quality, Electronic filtering, Interference (communication), Image acquisition, Motion measurement

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Proceedings Article | 22 September 1997 Paper

Vibrated image restoration from two consecutive images

Adrian Stern, Norman Kopeika

Proceedings Volume 3110, (1997) https://doi.org/10.1117/12.281390

KEYWORDS: Motion estimation, Optical transfer functions, Image restoration, Motion measurement, Spatial frequencies, Machine vision, Computing systems, Cameras, Filtering (signal processing), Phase shifts

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Proceedings Article | 25 October 1996 Paper

Analytical method to calculate optical transfer functions for image motion using moments and its implementation in image restoration

Adrian Stern, Norman Kopeika

Proceedings Volume 2827, (1996) https://doi.org/10.1117/12.255083

KEYWORDS: Optical transfer functions, Motion analysis, Statistical analysis, Image restoration, Spatial frequencies, Modulation transfer functions, Image analysis, Testing and analysis, Imaging systems, Motion measurement

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Proceedings Article | 1 November 1991 Paper

Production of sapphire domes by the growth of near-net-shape single crystals

Shlomo Biderman, Atara Horowitz, Yehezkel Einav, Gabi Ben-Amar, Dan Gazit, Adrian Stern, Mathania Weiss

Proceedings Volume 1535, (1991) https://doi.org/10.1117/12.48300

KEYWORDS: Crystals, Sapphire, Domes, Solids, Molybdenum, Scattering, Optical components, Photography, Polarizers, Particles

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Showing 5 of 70 publications

Proceedings Volume Editor (6)

SPIE Conference Volume | 27 May 2020

Three-Dimensional Imaging, Visualization, and Display 2020

SPIE Conference Volume | 17 August 2018

Three-Dimensional Imaging, Visualization, and Display 2018

SPIE Conference Volume | 20 June 2017

Three-Dimensional Imaging, Visualization, and Display 2017

SPIE Conference Volume | 25 July 2016

Three-Dimensional Imaging, Visualization, and Display 2016

SPIE Conference Volume | 15 June 2015

Three-Dimensional Imaging, Visualization, and Display 2015

Showing 5 of 6 publications

Conference Committee Involvement (29)

Three-Dimensional Imaging, Visualization, and Display 2025

13 April 2025 | Orlando, Florida, United States

Big Data VI: Learning, Analytics, and Applications

22 April 2024 | National Harbor, Maryland, United States

Three-Dimensional Imaging, Visualization, and Display 2024

22 April 2024 | National Harbor, Maryland, United States

Computational Imaging VII

1 May 2023 | Orlando, Florida, United States

Big Data V: Learning, Analytics, and Applications

1 May 2023 | Orlando, Florida, United States

Big Data IV: Learning, Analytics, and Applications

3 April 2022 | Orlando, Florida, United States

Computational Imaging VI

12 April 2021 | Online Only, Florida, United States

Big Data III: Learning, Analytics, and Applications

12 April 2021 | Online Only, Florida, United States

Three-Dimensional Imaging, Visualization, and Display 2020

27 April 2020 | Online Only, California, United States

Big Data II: Learning, Analytics, and Applications

27 April 2020 | Online Only, California, United States

Computational Imaging V

27 April 2020 | Online Only, California, United States

Big Data: Learning, Analytics, and Applications

17 April 2019 | Baltimore, MD, United States

Three-Dimensional Imaging, Visualization, and Display 2019

15 April 2019 | Baltimore, MD, United States

Computational Imaging IV

14 April 2019 | Baltimore, MD, United States

Compressive Sensing VII: From Diverse Modalities to Big Data Analytics

18 April 2018 | Orlando, FL, United States

Three-Dimensional Imaging, Visualization, and Display 2018

16 April 2018 | Orlando, FL, United States

Computational Imaging III

15 April 2018 | Orlando, FL, United States

Compressive Sensing VI: From Diverse Modalities to Big Data Analytics

12 April 2017 | Anaheim, CA, United States

Three-Dimensional Imaging, Visualization, and Display 2017

10 April 2017 | Anaheim, CA, United States

Computational Imaging II

9 April 2017 | Anaheim, CA, United States

Three-Dimensional Imaging, Visualization, and Display 2016

18 April 2016 | Baltimore, MD, United States

Computational Imaging

17 April 2016 | Baltimore, MD, United States

Three-Dimensional Imaging, Visualization, and Display 2015

20 April 2015 | Baltimore, MD, United States

Three-Dimensional Imaging, Visualization, and Display 2014

5 May 2014 | Baltimore, MD, United States

Three-Dimensional Imaging, Visualization, and Display 2013

29 April 2013 | Baltimore, Maryland, United States

Three-Dimensional Imaging, Visualization, and Display 2012

24 April 2012 | Baltimore, Maryland, United States

Three-Dimensional Imaging, Visualization, and Display 2011

27 April 2011 | Orlando, Florida, United States

Three-Dimensional Imaging, Visualization, and Display 2010

7 April 2010 | Orlando, Florida, United States

Three-Dimensional Imaging, Visualization, and Display 2009

15 April 2009 | Orlando, Florida, United States

Showing 5 of 29 Conference Committees

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